{
 "cells": [
  {
   "cell_type": "markdown",
   "source": [
    "# Song Classification\n",
    "\n",
    "> Deep Learning Cookbook: Practical Recipes to Get Started Quickly 15.1 & 15.2\n",
    "\n",
    "## 为音乐分类器创建训练数据集"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "outputs": [],
   "source": [
    "import os\n",
    "import random\n",
    "import numpy as np\n",
    "\n",
    "SEED = 1\n",
    "\n",
    "random.seed(SEED)\n",
    "np.random.seed(SEED)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "加拿大维多利亚大学的 genres 数据集，不同风格各 100 个片段（.wav 文件），每段 30 秒。\n",
    "\n",
    "Download the dataset manually:\n",
    "\n",
    "```shell\n",
    "cd /Volumes/shared/murecom/intro\n",
    "aria2c -s16 -x16 -k1M http://opihi.cs.uvic.ca/sound/genres.tar.gz\n",
    "tar xzf genres.tar.gz\n",
    "```\n",
    "\n",
    "下载下来有些多余的 mf 文件，把他们移走：\n",
    "\n",
    "```shell\n",
    "$ cd genres\n",
    "$ ls\n",
    "bextract_single.mf co.mf              hiphop             metal              ro.mf\n",
    "bl.mf              country            input.mf           po.mf              rock\n",
    "blues              di.mf              ja.mf              pop\n",
    "cl.mf              disco              jazz               re.mf\n",
    "classical          hi.mf              me.mf              reggae\n",
    "$ mkdir ../genres_mf\n",
    "$ mv *.mf ../genres_mf/\n",
    "$ ls\n",
    "blues     country   hiphop    metal     reggae\n",
    "classical disco     jazz      pop       rock\n",
    "```\n",
    "\n",
    "利用 `librosa` 制作梅尔频谱图（melspectrogram），一种模拟人类听觉工作原理的频谱："
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "outputs": [],
   "source": [
    "import os\n",
    "import librosa\n",
    "\n",
    "\n",
    "def listdir(path: os.PathLike[str]) -> list[str]:\n",
    "    \"\"\"os.listdir with \".DS_Store\" removed\n",
    "\n",
    "    :param path: a str, bytes, or a path-like object\n",
    "    :return: a list containing the names of the files in the directory.\n",
    "    \"\"\"\n",
    "    ls = os.listdir(path)\n",
    "    try:\n",
    "        ls.remove(\".DS_Store\")\n",
    "    except ValueError as e:\n",
    "        pass\n",
    "    return ls\n",
    "\n",
    "\n",
    "def load_song(song_folder):\n",
    "    song_specs = []  # array shape (1000, 1280, 128)\n",
    "    idx_to_genre = []  # {g for g in ls}\n",
    "    genre_to_idx = {}  # {v: k for k, v in enumerate(ls)}\n",
    "    genres = []  # [j for j in range(10) for i in range(10)]\n",
    "\n",
    "    for genre in listdir(song_folder):\n",
    "        genre_to_idx[genre] = len(genre_to_idx)\n",
    "        idx_to_genre.append(genre)\n",
    "        genre_folder = os.path.join(song_folder, genre)\n",
    "        for song in listdir(genre_folder):\n",
    "            if song.endswith(\".wav\"):\n",
    "                signal, sr = librosa.load(\n",
    "                    os.path.join(genre_folder, song))\n",
    "                melspec = librosa.feature.melspectrogram(\n",
    "                    signal, sr=sr).T[:1280, ]\n",
    "                song_specs.append(melspec)\n",
    "                genres.append(genre_to_idx[genre])\n",
    "\n",
    "    return song_specs, genres, genre_to_idx, idx_to_genre\n",
    "\n",
    "\n",
    "song_specs, genres, genre_to_idx, idx_to_genre = load_song(\"/Volumes/shared/murecom/intro/genres\")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (12, 8)\n",
    "\n",
    "\n",
    "def show_spectrogram(genre_name):\n",
    "    genre_idx = genre_to_idx[genre_name]\n",
    "    specs = []\n",
    "    for spec, idx in zip(song_specs, genres):\n",
    "        if idx == genre_idx:\n",
    "            specs.append(spec)\n",
    "            if len(specs) >= 25:\n",
    "                break\n",
    "    if not specs:\n",
    "        raise ValueError(\"specs not found\")\n",
    "    x = np.concatenate(specs, axis=1)\n",
    "    x = (x - x.min()) / (x.max() - x.min())\n",
    "    plt.imshow((x * 20).clip(0, 1.0))"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 864x576 with 1 Axes>",
      "image/png": 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ojRZoZ9ueg0q1lNPxeFUjTkqKg3NczsTxPv5aK/e5nN50viX9tIvFgjpTa2QgO6TDnTrYc6F3ZbxxFMnaojW400kbfKQdMKc6WI6+UVQ9yCXQ9+8CrgPVqENvboDCOM0isuE0i7Mep68OyHGAe7eASgXOcU/kEq1zrDZaIK2gOsO0qHUiTW1GLI/DbJsScGR3D2UU/1nNShgWjiJRFh0tmtNHCuS6xX7nFSD3sIQNwKNn4F7WoUltb428XWSq3PT72PneQPiiYS5imHMOOI7h3L6FOGlJPCvWEYiFh6rX03/phumiTfaMz9M5G0ph1VlHZK+GfmojmBmm0wWfnImjm0T0IHrl9kNXO9C43UkUQMIIrQc5bfOEu12Encrfm/H7tJ4HCwFVq8LpEbjdAcUM6vSAWhXkeSIn1+/D9Prg2GQqK7NoeedrYErOWjj37oK1wmd/9S7otTvC2ycCv3FXuhWygd7agm611uNxEi6zLct6v4hSm87dHnAk7bETylsiNYsnz7PsSQnjdHkcZiCLDCldfFtTInDFk25hrTp4MMiiOmWkrxLh+RVBohxC1ao4DCenI7zzJJ1WxEZHtZoY3qiAWlmEjTxvhLOpPBf9b9yb+VhrLA8S3VbT76cba+P76c8pxorwpsLj55LVUFKMnGwIjS+bODMYynnYiO9M7ZiVyviaiZ55GMD9te9mnzHxeRs16bUrgHROqnE8C1YGL3rRFvFFO59J0BobXxiQ6yLYcm00uSvcZc+TtsEbTZDnAoqEImQ7/JHWmSTnAl5rdHcHFMXw2gAOTyR78/ApqDuQTCmzzLu1Jv71scT3Kwk6qP1ddH/mbagbe8DOllDitrdAroPg2+9k9LdXnZKRoJQCQFKgIAS9+6YUr5k5VIqr+dx+juNcW9iSqke3t0GOIzJbe7vC34zCcyoZqcMwyyAmBRUw4qPjkYhb/nkZ30fln/5eYZrZK4sFXDCnhUTT4lGnbtJ4T2hJM1x7kvYmrTPudH4cssnkjYDpbUlOGo6csYxUWlRbTEHh6GFlUzHu4JfSUnnRihOLspFlzq0buzj6GiF64yb6expwNPjeTVClArWzJbKaeztQeztQtSrU7k5G07CSh4taNEd+DB4Msf/7tkbFRsxxdJo6TTwYgocz1qbkscSO5ESskF1PwHEMHJ0CQx/1L3vgsw4oKYK23S0rHz+3NkplgZJXkpKRQ+HRZdgFQitEW1VEO43Cv38cHEYjYtvlHoxLuWcjuLEjO/4ogml3EJ+cZe9N4rzNsEia0zM0//DJKIdtLP2i6lIZvuYwvwArtFBQtSLG8hyNgUca3KSvYfqMBw8G8vf1WuZ45Cv3mbMuk6lCzBQRsWSMJ1zm/FslzWmO4wuLrIUjvjpjplSUeZ/iGNon6PYQ1VMD+AHUUVtocUlxn+tI1jSMxLk0nG6yUmreIj5LJfOSiYTHXK+LA5QU+inZpJ7LHM2KMp3MeTuwi/hcZwEpqQ9RCqjXoLoD2URFYqf4rC12a2i1+E1cSmB18R3mSQNtylTjZWDD6L+5Bfd7XyDccG3ays3OoYQBb2ZVb1ggMJEs6LbbFJDLBFwUXZvynnIcI370JIt22fRLvimF6feBr78L88795dltL8t5LijU1mamUzyOSfzNGTaSHMdQGy3wrf0sEpu3SbYwjxwXqR7yNAVT9u/Ic+X6xvSl03btRSJx7E18PqpdBtaaz9fH4THqT6SBTutffSYNPQBxiGMjtIwvHoEfPRX92k5HHIoop150HczTNhlg8OEdeAe97LiKQK0mSBFUoy6qNEVnJlbNyVwxkOPA7G+h/+4env7pm1CtJgYf3Jb3mg0Jjm21oPf3oKrVzOa+UpSMeQ1iNjCuFP15ZwHIc9OKdOfWTVn80iYEBT2EeaciSzR69OgZOAhlEbep6okqIMk1z1DhnEpr2UYVZCPJIy2EmRE1PaieX9wYWju0Cw1zcCgtgLXOnvkYJQgYiyrPMjaIoHoD+z127CUbbWZxVCxFJC16Hfv7Fx5CkVC3khbZ4+ebRM+LRl51Y9qOgWuUBg4j7P5hH3zWTseZOTiU9tebLWBvOytiB0YLvacZ83N0JimMUXnczWh8QSARZRtFRBgWJg85N8x7Di3LfbkOtAINQ1R/9Y9w+x9+CqpUUHkqzcrYl4wJ9YeID49tLUkmuVgUFt9hzqOkSC8gRWP9PQ1+8y6cR8ei9+e5Ukxm291SvlioiIcwr8hKwoEsUcYuPj2VY9Rq4Fu7uY5kYwO2iMpV+91mMJQubnFsjWow8jHvu1/AfPTZ7McDrNrBOgKxyBjR4k5fPK9tXYRKjG61AK3AtQrUO68LZ9Q2CCLXgfPWG9CvSdFpQtMgraG3N69tw8hKJLEtrD2HMlQL8lSnsuW7Fo3DvAQg14Hu+eBeH9jdFjWYe7cBrYAwAj89gNraBDUb4NiUoypVElS3D/IDDO9tCDUjiqB3dzKlmSCE6fXLH5dFY57j/LJjlehHlQY2MJ0ucHQCqlQQvHMbHEVQ3SFUswkOAuj9PcTPngMA9F4SZS72OpfKUo1EjgqGqtehA8C/2Uhb3TKzLFZ+IOoZRR57nmnIAh2FC5HbQavnJ6Pa1ZNkqma4l6S15TPlvnesgJIcB9jeLKRRCoD5PK9lMv4LCFWvSyradjvL3rhgoziLMb25B//NfRx/awesNahaFfsUxzL2/UCie2wLiK127Ejjkqs8b0v34DASmtHLWOhKbqizqMVniwwOI6gzK1H4/EiCB8+PYJ4+hzk6ThVjEAsVKdXfn/b5zXHcsSPr/GDPAeo16Ht38PyX3rHnITKNqlYVCt6yOX6LAFLLt0lNak5qNYQfvo7eXZFQHLyzB7W5AVWrovujd8GGoW/sIXr3Dqhpa9Euk8m8JpbqrpVZuMZBgN3fOkT/hoP41q6kP+NYIqY9aV4izTGWlG9X8gQhRSLpdXwiUQ/ORTVGuJ2zn4exurd5YXIzFn3jKAI/eLzudPaKIVOpuEJWYxbn7+QM3kEPrS984LMH4OFQHFvLizZHx5IuTw5li+Xiw+PrH/cyNZ0VcBgK29S+QiDPQ7yzAUC0vTlK5BQjUYsJAsRHx4iTYqggmG28j/HzS8VpG+j00HgSgB0NrnjY+22ZS+Q6ALNEz3Mt6ZcBc9sYvkiPPckaLRnIccDDIbxHJ4g9gtluov2aC3NyCg5CqFA2hez7cJ+eAcGEotAZN/zLk6cBSq86ptMOgF3ZRigCjBIDFEbiEEIXmwaaR0TRFgWRIjCXUCBkIYue0CP0fhPo9iTCUc7B7P+XX0uhEfV19HfhYQZD2ahpfb4Ir2gEIfDoKdzDCozvy4aNWaLMRhQyKIrSiJj8H1+7sp/jGMqK9nOMc84/Oe45KtLSYQkX75cNqnhQQQQTG5DrSM1NEEoWwyXonW2YdlcciBizzwWls7FXsi3kwdBS+SDr17MDKMOIDQNGbHr8/HDpKBlz2ximNqe89f6lgBnkOBi8vYfmY1GFufGvGSaKgDhG/fe+RARIVu7w2K4HxV7/8kSYS97VUrMBbtTgdYy0V9zahNpopm1FAdndFsoDnkd0aJyOUdIxVaMOVa1AVSsi/ZKoElzEl5pVh3lSOm4sDV8qBWWNhQO5TqZYAWTjYdJYm7FQTqTXDBBF0DdvQNVqAJBlPkhBtVqWs6xGo0vXGftscvUA5x1LqpasMz5HG7XG1cF9aeJBriNjzvdBnivjLI5FWi6S4rhC1qw5bmokSh6DkvoXUqlUWF7XfJ2ZuABXCSgt4ZyjhlAsTEWBYtuNOYrTTDZvNOWDYZC1Ti8YS+Qwl0wpaNQxeHsXvZtaDFG9Bmo20uYD5ybnrAvJvDhEicOqdBYBKwOWZ0meC7O7lV3fOF+qgEGsPBfq9s3zlceT7ukKpKzXuBqo0chJGeaKTSctDrNQdZQG3b0ltiGOEd/ZtSdAo5tqrYRHZ2LZvE0T8bEOw0XXkXTQLBzWZuSlGpeyWGhFEXd74C8fp89f9IlV+rPxRR2IXK+YtWaeDpZhqHfeQO+2BEVoe3OkcFE1GqLNvM5MTMaqdkA0QnnTA4Ng0xG67IPHqUpMeEM6/5reAFRS/4XlcZhL5qLyyRmcfozu6wBFMfjoBObwOPcBmZx53uzsB53DoE4mz/j5F32YIJCNRRCCjBEKyKQIQBEcZt9H9PmXaUou5UrnxshIK+H1Iv9qIMo1M1BaqqTzKEp+jY2oEVQqoGYT+uAsK3LNa93GBuy5o47mFGNxovpH8l5YUhbFyjWey9KUYbPmMT9Vptm+EvbAjLZcByBFpqSgvEw7W222JAthFVxmQqqJXJ7aEmDXqDACGQCHx+Djk9F1N9FPXyancJ7OfcnP52UhPjkDfB/VHzwRvrJjg5ueB9Ia7nc/S8cGd3ulZCCWi8NcMtyjHm78tgeEEXD7BuLdBtS/+Z68yQy9twuuVxF/9Km8lvC6poocvaTdcVkcZqsAQPUaqD8EG86c5vy1FnDd+Sh5ctxxA6qaDcSnZ5P+fI0VxajWrDnv7BW16WYGDk8lJchG2g0n448USNu08mAAOpBNnarXYQYD2TBe9zwu2eTKHJvxeibBxOD8Fy+5k6ka9VTPFwCE2LvcoHoNlNAFibLud2ztI5E4DrajX2EUtZKDV6Q1qDfA5h8eSR1MGNosr42gB0HxztAq8X1XtNCdFMF0e6Chj/pvRzDdHuC6Uuwax/I7YKVmdSn3YXkizCWDWk2wq9H6g+fg/gDB7Q3071RHI7KeC7OZVebORG9YlcmZgFTaZQpWqSA1armo8kjKfJZjwaYhmcURGYskG9tQglxv9nu95M7CqwKyxXEJDehcRK3AyAsPh5aSYUCumzUmseOeKhVAaxmHRGnqfJpKeY7jCx2EUnmcJcvJzRMmaRdt4tVxKGKT0oKM76dKLOnmjRkmCHN2eEY7NqcxoG/dgNnewOk3dkH3b6eOvqpVs0h5spkryjbPJdu7ppDMBGvTmRlUrYjNDcMRO6+3NkGuJ4XQJazby+Mwl+20EIGCCOSHgCJ4Bz1UjqMRZ888O4D65FH6e5r+XfLFpAiIRraB6fZgTs/Se0KKRheoAigZHNlFYHzhm8CVLqQoav18lwLGtwV31ikyw+HYB4pzlOi1O8DNPVC1gnh/S/SVVdbdUu/vyWdyi2SiH35tWsB4lib9Qirf+ZuLks8cliGzZCn8K8B0OpLJMDw5KAFkxddAeddf8Nrc+/ptPPvZbTz/MYA6/bRzbKK6lGqZrwMZrxTIdURO0PNgtpqgnW3AdUFvvw6QQvwzX8fgJ9+DvnsLVKlk3ZkLxPJQMsqWsun1QQC4VgExgw9PUDEGly5Hy2aAS047Jbs/9v3sRa3TRjAAittlj8nmpLvK3HHp61+B+V1LqVmllNsal+NFzXHUBem6a4yRuFWBPpKIHhwFHlqNdludbc7aUNaZIcdNq7blc0s6Dks679JoJSsMcj2o994EnXbAvg/uD6TgejAU59Iw9P4uYBjx0TF0qwHc3EP80adCD7qoa+Q0KFq6KzDY/e4AzrAGc3CYNf3RAEhlcmHL5DDPc86v6FrHcYzo+aF0YP7sEUwcixxwtw+YGM5vfB8OgCgI0/qmorH4DvO8Hr7jgFt1hLsNuAdd8IMTUBzbyClJWkhrYIlajJ5DmfeRDcirih5of5DJuhgecVBG5O2mPB9VqwkXUVHmnL9Id3IFDUghWCHjqioVoNWEOT2z0m6Tr0016tJad1zT2PNGN3uXwHneBnd64DCAfnKcbqyT9DcPBkh8wHQuMANYe4ZrzA69t4OP/8oO3voHGs9/YhM73xtA+zH00xNwEMC5uY9ofwO6F0D1eqCNFjDwRW4zjq1qUr62ZIYOgMwXb0KnuTbfwD0ZYO9ftkVj10bMs8K/nKNclO0qoAPtGuWCwwjOzX3ExydQ25ugIIQ5awN+AKpUoG7dQLy/Cf3lM8QHRyBHj/oIBWDxKRlzGsDkaKnMZYBdR3iDthECW6ePBwOYdvvFX7aIKPs+ai0NHM46oHpt5K181XamFjDj0GOTSWrZgpaRYsAwAv7oY+jt7dHjrrG6uH8bALIU9QVj3nS7Exf3axlWmx5OOoJCjTrnaXc1SAR1Fu7+hco2L2NxL2MezYGSQa6lzCRqGUsOHvrY+AygB09hXILTDaAfPAc3a0AQgtsd6C+eAU8PpCDq5BTx02cjWZBMQWn2cUSqOPURpz2UqGG7CzYstjwnrViUUhU5zmo7yiswzvMgRTBnbXluhmH2t6Tg2g8k2FGvgoIIiKTRXDrWC8TiO8xzAg8GwNEpooaDcK8OGAbVqlCt1ignLI6Bn/xG9vu0g3Leg7nsxi/2+8l1JJphHRaJZuS5xbMbJrXRypyi5LiOc86x0Df2y+fvLTtW6L7wZw8sf95cXlxXwDWbnRao1ZCxuL1hiw0zHWbSomGsGnUZqzonazZN8eGiPKcSzqMsqcs8VK1qmypRZjdGNNzL2AiUZ3M5ilA5E0mt3e8OwUQwvb4oFAWBFF4HIRBGoiqR4zqXIcmWKHHMes3kOFDPT3D2nTvo/fgbUI069OYGYGLoG/vCSbXP75xs5HWPlXChEyzKHJsVl+i2Ly2IMjWsOAbXKlBnPRnrjgMeDMBfPAI+/hLxyZltLBUX3rxs7TBbmG4Ppt/HYM92jYljmE5XHoTVVU0egm7niokWeVDOUXeUY2PbAhvwyVnOUTWFN1fgMBQek93IkONA1esgJxfJNjEGX72F6MM3c1Ht1dpxLy3K0gk1SeW8Klc9ggjtr2xKJmo4BI5ObfV+Nv44joFaVQr/gJFsyLVT1xcRfOeht3rRMQq0K9Moh1wbyYZF6/kcbw7wNxXMjW1UPn4G1R1IMCfKOcOeC04a39j5oKoVayud6deHMu0oKaDigTXB6cWis1ux2QHDUshln9+szhDl1pCVwqqowIyBKhXoWzcA10V4ewP9929KC/h7N0CVCvirb6L/8x/CuXsb5HlQtZo0uCkQS0zILRbkOFC7O4i9zBiQ1mJYbNekhK8Vf/+jgg9eIo80+d6ynUU24izbRiJp0wNSsjMscKdHrgvOFxPa1qmpaolF7ftPYU7PYC7r+LbGfEFUWpHXuXE2iVdZBNeSGfXnAajbBwPgs3bazldvbkhRUhSBuz0o2ymUHFfG5xRznfI6z/nXJ93HomwJSSRWeS6Mf76AJnE0CpnXeUpGSbaQUwWVnNRlERzel4U4RqVtwJ4DDkPwySmoVhVakbW9qlaV6+12AeWAlAMzGEBVKrPVklwmNzjjfUyokI0HAzhHXbDKsojc7yPfrGXmsec4WVH6CtVyrCo4isDPDgDXhffxMzjbGzDdHvRzhWgwhPPoEI0HBvGpNJIqowvq4keY5xUVdF1wrQJWACuC3t6U3uWemznLNhU0EsmcFuOTs4zrnLOOKkeRjXJEWYTvogjztB4TEVCtgBN9UdvFUG1tjlyjajTQ+dYd4auusTgosoHC+FcnesUJJWOSYzwicTj9nPM+PQD3eraoVaUUJNO1aUKSQuH45FQOpS/mVE8Fm6IsDbbTX9JieRxFRvBHKBllNVYKI/l3iaZ18Qct7zgcx9BDhjrtCR0uWaOCUGywMTAHR2nNDQeB7cbKo3KLi+YksgF3unC+/znw9ABqbwfx8YnIRPb7MEO/OInAKMo1slmw+7DGORCR2FpjYI6OoY5OU1sLNogPj6WBT6K3DhT+XBffYZ7XQLbp3MENAhmWhdDEaXGPSvT8xiMTRWAeOqQlI7/oJW2y5ReezFGc9rkygzvWCU6UMQDERycjHzODIVp/+HxtCF8hJDqtV/+D6ccG16ugRgO0vQm6f0dE9O2mmrSGc/MG1DtvpO2KOTaSeXHGWmVf5VjXcfCKsiWWgnax6owpzvGcQwqZo9A6WqZ4+/0SoDY28ODPEkyzBtRrUsNxa1/eNNLlkoNQxuLr9+X1fM2HO4Ue+DzALE4xYOkkNOrUFth9Mm7nin8X7T6sMQpm8Gt3QG/eB71xD/zh22j/5OtQtSrOfuKe8NtdB2c/+4YwAyqV1NaS4xRGX1seTy258JLAUQTz4DFYAZVPniM+PQUHIUy/D72/D3XrRtqcY8QBXE+0FGlRST6CWML94cFwpJsVR9GoBjMAmBjR5w8KP/ZKYkXGsGrUrOOqrP7xhE5/k651Cg5ntGuzT0EIanetTqyG2miCHEcKsI5O5bBWJWakQ9l1nPVxTdEkRZ3P3CTXUGT774u+K4loLhNXMk/LShyvSc9gWeZCFIFrMcgIFQ61KoZ3m4Dnghp1qGZDClAdB/H+ZraRSgvCFnTTQAT69gf44n/1Ifj9N3D8E7fg3L2drv+qVhNnyPVkPU7m9FSFtEtMybkMKyYokMDUXUQbVZx+fRv9ew3UnwxgegM0P+2CGnVwHMMZ2IZlWqdrQTrmC3Cap3aYieg+Ef1zIvojIvoeEf379vUdIvrviOgj+/+2fZ2I6D8moo+J6A+I6FvXOiAzVLNR6sMhrXHr132Y4xObXhVZm+e/9A7Y0Wnr0XRyKb3YE22OEQRVr0tBSa1qn5O63DmZZfBq/XIM/rIspq8qkuImG0k8l9m4KJU7xRx2zobgbh/c7YrUEVHKvzRBCA4CacdsVWI4CrNOhFNwmEcVHWxr+PHrW9bx+TLOe8n12k2/j9f/ASFuVoRK2B+AHQIPhohPzhC3u+AwArWa0A8PMpqStZv5gMMigRwXxtO486t96KcnOHvbUplIQdXrEm1OOMz5DpjTbt6Wdc5chnk/0zkdT58NoHs+ml8MQAnjIo6hugPEuy0AQFxRqW43TG7MF5RZmiXCHAH43zPzBwB+EsDfJKIPAPwtAP+Umd8F8E/t7wDw5wC8a//9MoD/5NpHtOnOMpBw3DA+f9jgxq8egJ9MSO/PEmHJT9SSutLId89v8pDjiB5yUslsd3eXPrMpDFbCSx6p9LbfRW6O12kniH7v7WIM44ItLoVhRa4rLewiq3t82XXNMh6YQcdnUoQEQG1uwCS6zGEkzrotOkm7/M0i9TROszCx8JfHahRSukfZKHi8jNSEzMuBWXJHiRwHz7/lQg1DKYB++z4oBqhWhW42RPu7WsHRz70Gc2NbxpCVOwRRjmI4ZXS2LLBBXNEgBhCG0D7A7U72dhSmalXZi1OOxxWgQl6KJR/j5/DkOdRJF+wp1J70wFqJNvNmHao9AAyj8UVXZOfCCGwLRIvcHE49Ypj5CTP/jv25A+D7AO4C+CUAf9d+7O8C+Ev2518C8J+x4NcBbBHR7RceKPfQy6h6zL5cnCvlx6k6RrLoms8fSOV7URgfyPN0lssyjnEsKWoi0bQGJCWoKOM6JoWTwGzSTjbicI5DyTyqlGGvnx8+WRmncI1LkDgEyEVfS1o0zMkpqNkAbW2Cdzahd3fkDTbpGFe1KlSjJnJYSWOTabI+is4v7nE8ujnEhIjzMoBIri/Bep5eCRxFCFsM/fwMFIRQz45R/+GBUIR2tyV4EQSoHURQZz35o7QolqWYM8ECUWvYMOKqAjsEVDwYx3KZYf9P6DQmLua8V3m8reK1RRG8L4+huj7cR8egWg0H326B+uKfDe40bKO5pCFNsZnoQrZYRPQGgB8F8BsAbjLzE/vWUwA37c93AeRJpQ/ta5cj99BNv19ahT05LtRGE043EGm0SiWNYKZFbEUtvpd0ISsNVM4ASpEoBcSxyBolhZMXYKZuTUpDNxujfFAicVrGvk81GjDWgV+5HfcaIyAiUaMA0nFAjnt+k6j0bJkqIvDX3wXv74BrFfg3m6nEIVUqmT749hbMu6/J3yR8S+D6ka186tmC4xj6xt7Y5xbH8VmjZBiGigBoBRr4MCen0qqdGeb5oa3riFD7N5/AHBwBGCseXWCpTdYECoxcY4xMX73I4vE1lhJsDNjRoN4Ag3f2gTBE62EEcyrNSpyeLexNOq0WTDua2WEmoiaAfwDgf8fMI32jWbaG1zpbIvplIvotIvqtEP4YdSEXqSwYpBVocwPsqJRawLEZJY0XLAu1SuAgAHc6cs+sYSbXFl3lHdsCHHZyHdD25qjjwQzTPi8hN6KcsDauKw2OY6FG5CK5SdOh0Q9O4DdfB6QwuFWD6g2AJ89R+f3PYCw9I2s7bKQ98VEnNeAz8y3HzsGcno29toQ2hTlTQZjzcZcd1ecE+GJ31d4u+O5+2oyDDYNcR4JMIzYwae6zuGNFhRIh5CCA00O6bhQuAbfeYC4VTL8P7nTBj58Bnovqv/kIHEWo/+AQPPQBNqg8PL1Qt74IzOQwE5ELcZb/c2b+r+zLzxKqhf3/uX39EYD7uT+/Z18bATP/bWb+DjN/x0XlggMXzz2iWg3hrU2wowDbOQ6KRqkDRRqZefOn0s3GC447wzUmqTOqJBxmylpYjx9jhs0PBwHiR0/OR90SpYw8jaekibPG4mEk+5Smby8o8ptlTLBB4+MTIIpBzSa417fcZQbHmdyaOWsjfvREClNaremPe8Emk/NpdaAcmzIenS/D0Vo7LtcGxzHu/A+nYGOASgVwNFS7D9PuWu1sqxbgOOcpL4tcrM4GehjDOZXOhY2n8ch7a7zaMEPRhTdPn0snyzgGks7CzOAvH6UN08qwVbOoZBCAvwPg+8z8f8+99SsA/pr9+a8B+Ee51/8dq5bxkwDOctSNizFpYpdgYNn34Rx2EdVdIAxAWxujlAKe4PgtI15kdKY0pKL7KdSVRB2AowiqWrlcnmqqg3GuaUkxqgevNBY42nQdEJFkHyoVqGr1HMe3MDADx2fgqif/YpNuEMkWoqQftXUXptOZXrVm4oZzgrxlkcXDKlfHkT/GKtjARdQfviZUo46nP70F/2v3Eb57B1yrYPjGLtTOFvTerrQFfvt10Bv3oLe3oJsNOLdvSsGfl9MCV3qxiv4A6H4IavfA/QFaH9uk9UV6/mu8MlDb23Beuwv/Zz9A8FNfBd/Zh6rXMfz2W4DWUK0WyCqpqQ/elaAnUUavBWae97MIG/8MgP8FgD8kot+zr/2fAfxfAfw9IvobAL4A8Jfte/8YwC8C+BhAH8C/e+UjzaFtpdpoCXfZMKjVkoYlSQEPh9mCtOwtNEkBXILhsYspGwaFNgU4qatWki5Pfi4DufbHqlEXZ2WNi1HWmJgzyPMA66ByvttkCej92BsINhTIAFsVD/zlY2Doi8Hu9kQGa2tTaBNpGlxBVStZt7KrIi36E4f4wpRjCfNpvN18OT3N52xTy2g+NW+EIaImYFwFtx2A2j24jQrM0TGoUhFd8FBaPvNwKFE3m4Hh/L1ewPug+qEUjhsDddRG/DIoO2ssHMzJCajTQY0ZXK8CYQQG4J34IqFIJBkXZuAzK9TAPCoWMaOdmdphZuZfA86JsCX4hQmfZwB/c8qDjf5ehoF1HET7LfRveXA6m9CPDuX1ZLEycRZhWTbnQuks+lSSgSTHBb75HtQPv8xSIsD54xUU2RGe3gXPIXfMRLFjjUuwgIvmNEjqDkiPKaiU4IzpwGDrD9qAFh4p4hgchaBKBQhCmE4H5uRkVM2FjRSgXleHmWikEGSEepJsDic0NpmVdsImF00ue5M7T7xovBe1vpS4EeDYQA8BPYyhD87EuewMERsGKfvcTjsyFwBxKBIHwtKHFhWqN4C5tY/B/bfg9iM4h0fgiKCaTZheHzAxVLUq9KfxhlVrrCzYMBAbmGcHgFKgRgMchFCfPkJsYnBEQJwTZ5imSdQLsJz5tRLSglyvwngarGAbDWSLUr5xwExyaC8L+QW1JENJroMHf2ZDijXCKL1P55srzK4Qojc20P63vwW9vQ1yPahGI00xkjuqT8tRJE7MGisPaRJCqbxcQpMoIwVf+dc/gDrrggYB+NlhxmHu9UYkuzhXBCgvTKMKoy60O0kXwXPI2cipOqQyi95zQsko08FaYOdtJpR4XRwGYALcwz64NxCVjMfPoGpV+UDS3MO2yJbTyTZuU+GyOVRofQ/h07+yjbO3XfRuV0CNeqrVrTwX5HqyPs+qXLXktJxXCkQIf/5HoN68D3VzH/zVN9H96TehNltAHENvbIANQ731GvSNfQz+5AfZmKlW0++YFcvpMBcNIpx8ex9RXUP7LDI2QSj0As8TLVWLQtK8BXWduTbK5O4RgRUQ/MjbUBtNiazlGzaMn8cM5xV3e9j+9ceIz9qycPh+ymc+F3FQulz97lXAijgs5HmgZGPrOqVHmbleRbzTkKiXnc+mN8iq+W1HyhGns+D5d6HMZs6ZSJq5TPX9q9JNcNVAhGATUEenEqRgBnkuOAhBnguwQfTuHWB3W6LPtSoQhi/82ktx2Rwqan4xA3GM2jNC9dig9jwEB9KsxPQyWdlzzUvWWG2QwvEHFbDngj0X/l4N3pl0sgTlApyKxIH2jW2NTULVKwjL5TAnRQolFP01H/tQEaPxaAB92E4VMtp/7kP0f/q97IN2IVKt1mwHnIeTMu6IFqxJOAKloEMgquUaR9AFkbFJ3MtrnJeqVuC/sZc2mEkcAlWvn/ts9HM/AtVsXutS1lhO8GAA4/sw/b6lPpjyxnwYAk+eQ38idcscRSDXg75/RwpdAWkuojXU9rb8PoM6zEUbdYmqjxVtsXT9U7Va+ruaNsvCY5uOFdlcXYpluEZmVE4AjmJgMBTZQttlEqHw992nZ6AwgglCxN1eMT0M5rBh4nYXe98dQkWAHkYy1xKpxjRjc0nR9xorCafHwBePgMMT1D86RPeuB9OogaoVqA3bGrtVBXd7qH56KIFPZuEyF0SPWnyHOTdByXHLaY3NDO+LI7Ai6JM+zMGR8KPiGG4vRu1xb3SCMi8PN3ZeBsUYbP8wgtsJpbOZTYlPXOhnNLocx3CP+7kX2E6M88/E/bXvpq2011htpJu0pNVykt3IKwLkMcM4NEEIMxim7bGTOgE+PM41ypHIh2m3zy/u15iXl0XSyHEnZqs4CkfmgxmXoHuVsQqOFhF2vyfyccb3ZdzXa2DDogluYpjHT2EeP5XPcyZ3uOjXbvp9VD49gA4MKDKZo2/nc5nFvCuDVcsEscHWp9aG7e+g/94+VASowxPZNFYrks0LjVBqT9tZNiIMChvzS+Awz+cUw9vbUIGBf3dTdiZ28W389pegTx/ac8kitoV1HCxzYOcHidIZx7eMQ/k+mr/6MdyTwSj/eyzCTJPa/F73WEEAfPzleUci1YHORdPWOsyvDFStBnIdqPfehPPGa9Bvvw5Vr8O5cxuq2cTwF78tY0Np+Z8U9NamcNzSLnxXn4/kOqBqBeQ6cG7flLTxYJg57GxGvzfvuBc07/X9OxNObEKB3iLPgVVb3OcE92woyhdGJNe4P0izbiChaUDrLOMBzH6v57EexzG43YUeGFHMyBXNllm4vlJY5Pk+DZhR+egZAEgr+NCg8dSHaXeAKALbglb6wWeA1ojfvZdRMQq0t4vvMOcmh9poljZZ2FMY7rnQfgza3BAeGCA8RNvWNl0IgeU08iUaG45jmHYX/NmDTIf5Ig5zEedABJjJPLY8Z3nNc7sClnEsT4Da2Rbn4cvH4E4XcB2YoY/4+SFMr4/m7z6UsWHi9H/TG0h3wITmdcWFRnku1OYGaKMFGM667rERKTZSKYf5HMZVLa6Ci5qXHJ8gbUaRvpiLoC6Yxu5ErNriPifo52e22NSkgYl03SJlW6qzHYecOZyzYA5NZjiOwb4PFbJI460d5DUglDu1swXudFH57gNQxKIVX/EQJ+3f4xg8GEikOf3D4sbP4jvMCZJWtyU5QM7pEE7fwH10LIYm2dUSCZ95fPFbRiNf4v0jreH/wjdFJDxRKADODdZCjp/wkuzP584lT/Jfxue0xlSQJiJSHBQfn8J89HnmwJoY0ZNn2Xiw/3MYXN8JIIL/sx/C7G6BHZ1GeVWlAvXW69CtFkiRGHPHhbp/5/zG8bqblAsie7F11Ml1JjrHaXv6WbAiG6qVAjPM0THSJk6kQHs7MIOhUDRsMMEMBlKUav+mNBS8MeMwgopNliHMbwLXNv2VhGl3wRW7tu9u4clPSTdmc3MHzt3b0rCnXgdIIW56tiCwWDnMJXKYFahRLy0lRMMQlSMfGPrg27siZaMI7Acg14W+sWdTXQUc/2WkSqeJal0Dql7H4Tdc8Gu3QNWKKIwk0fk8CqumnrBrTOgyOb6mqlbXC/6rgooH57W7Ij2laDTDkWiRF6QUo2KG6vRA3b5QuJQCxwZ4fijRa1KpNjOOTs8Xv15jHtAVzle1mucdf6UzxY5ZQBP0mIvEen5OByJQq2mzHS0E97fh3L8jRc7WgXXeeA3Ozf3086Xd6yIjzzYa7hwNQL0lqRVao1zYwGVwZxNUryPaqqH5SBrL9d6Qgj9qNqRxFBuoMAYSbr/jpjSlWcf/4jvMSU/wMlNB9ibqfgDT6WJwrwX//Tuyc7cL3dlP3c+0HxNMwXuc6vNFoeTWtrEHBLt1UOKwGJEIOocZnWaqVODcu3uOjz1JPkbduTVKpVljZTG83YTZbIBt1C3JdJDW0Pu7ACQTkvI8k7bA152PzKj88WNwtYLo9RvSuCQU6Sse+raBSjbuTb+ftXKfI6bWjB+/H8ueWVtVKAVzfCqFpR0pbDatho3KZtKlbJaL0kCuB/3aPaiTNrjXT1scp3M1+X+90Xp1QAqqXhcVLmaAgdpBCA4CNL9/JPbX0TCnZ2DD0B0/0x8vUIKwgHxdycg5yubgqBw+EzPorAPqu4h9H9UnfVAcw7DoMZsgQOujNsx4Adm0zQheZrfAkjYeiSi+2wkAx4Ha3ZGU4TgKkHfhMII5PhnRXCbXO6e37Ny7i/jRk3U3qBdhRZyg6penoN4AcRyLo2w5zKQI3O3Jh0hl7Z6TDp5TgMMQpl5BsOlB9/oy/lkizTK/w6xKO7BV2iV1flONBuKxuUaVijhOc+CczoRl7Z76skEEqlaFr+k4oFoNaAcgP4AJcqoAQZgFLZZhnisN9c7r6L69jcGuxuYnA/TuVbH5//49wHXBQ1+6F8Z5mbkluK55oiTp3ZcKY3ntMQNaQQ0jnH2jjhu/oRDeaIF2myBmOMMAptsF9YfgHDWUzfS2Po/FjzDnwGFUWoSUh7bKslaDevgc9Oi5vB5F4CiCOutN+KMlmaj53XhpKTnbqvXgDNztgc/aAHBeGznJGOTPbQqw749E+NXGea3lx7/0uqSqi8IyFFC9wjCNauawInFUTVpEBGZxllNO5PQdz/xvvgGKY9QedtD/t75iu4EqUK0KvbcjP1sljuRv8n9/HXB8yXkS2cxXgbZo7LtKkfJcYzbYToyAjA/2faggAlk51ATm9CyNPs+MOUV06aSNxh8fQAcMU9GoPwtkjCdZnFjqElJneR1pzkC0nN2IrwAz9FF92Ab8APr5CbRlXjodH7ojv5jdjZG/YasgU1SgdakcZtIXt4id+btrNTz5C6+h+6c/APd64MFQFoowlIjm0Unm7M06Qedd9TumIV3KIYIQ9/6bY3BvAA7CVBs07o5tNMYrtac4n0SaLm19zAxMaP+79UkoEZaisKrV2vNccEo81ukHLcR7m0g0Z5MCVGCMrpNSMSY4s1eEHkRQ7T7orAu3G4GSlsS2ShtspPNgvuhulsX9AoUDvbtzvpMlSXv6rPvVNR3esc+XrTQztwV+xTa8PBQby7GovvDnDxE/ejI6ruM4K2AvG0XMbTYSvCKCOzBQgUHls0Pr+Jj0MyuhpV0mVm0TYTcC1BvAtDvoffMuBvsEhCGo74uaimGoozZACubwOLXDRY6VpXKYpbCmJONdrcDfJoR1u9jEsUxSy1vmoV+MLM/LRNkLxsefiy4oG5tmNefTIEVkCEiJBq7npQ5RUjGeR/17T0TEvygs87O/DHO8rjL55Jsf9aC6UiSUaiR7nowXb7SZSULZmIrXzwznkyfg0zNwrw/3j6xOOxtpjT2UaAcPBhkdI+3wp4q935O+76IOm1f+yjHtdF2cjukkrBtRTAf2fajX78K5sQfyPKi9HXAYQb/1GqhSgX7vbdDbr0NtNEGVinSnJRrVqb/WAV+w4StqXNvxELsEdkhqBACoN++nmtJpDUKRx10RvIx6iXmA4xhcrQBEiGoKN39rKB1W+0NAEZQfpZlDHvql3IflcphLhGnVsPG5gYqQ9iMHYKPK4vw5d+/AeeuN8388RdHQS0HJvCaqVmA6nUJTIBOP4zoS9R9kTVLUm6+NbgiIcPDz9ye2y57uoOsikyKQ8odLgO4FoEGmkMKDYRp9TQpARlrsJindKeYF9wfS6c/3YdpSnJQYa5PPaoy3wp5mXkxq9kME583XER8env+8iUcbK13z+kSmbJTCVTgtIyf3NLcI87nN+wXHXZJ5zlEE8mWsUauJZ3/mnjyn07bQF+MYNPClqUOuy9+5jMS1Djqntcs658ZVQrNig2i3CXKc0UYma4xiVRu7JOPOFrBu/voD6IG1cRUPOD4DPXwmjUy4WBpGHsvjMCsNM/RLm7A0DFE7CNF8MICqVdMoTRLR5jgG1yqI9lqlHH8uKDNKlI/8Jx33JtAkijgftb0l0UPHzaqmvdEWweS4OPiJOJO1m5lGs5q79hTzchJKvIfBfgO80UAi6WYGg9RwmmGuNXTS3n7abp1EoNs3oPf37K/WqXQcoYEogt7agrp9M1fVL3SuSUouLz7chGdD0v61lPuZz6Qli09ZUWai89KTa1wdbKkKgyGqp2L/qFaTDMrAB/qDlC7EwyVoj56Mt04PxgGMQ+BaFhHPr8crbY9nwSrfl4MjCVKcniHYFN39+NETmNMzxMcno7ayjALrwr+xLExK7xcJq/On++GoAc8pYZjPvgT9/g8nnNtiD9DEcS07tYqkWtumuTmKSknhxYdHo5Xfk6gybND81JktmrLGUiGqaZiam0pByoZKMkTKpvLIcW3XTifT5kyQj6peMm7JcXH8Y/vgRk10cLe30mJDtbUJ8jyRkjs5zahJyflMQSnj8Sg1JMsSn56OnVhBc3s8mm2jkoXajwW3mUsBIsls+D6oXkPnvmiNB2/ty8bMcwFXqEikFSiZA+MblEWLqMcxEEUI6wTjEXrv7wOk4Bz3sk3uePH4GisPclyhvFm52trnp/Z1J6tVadiMcklR9sWXlZsTqNuHd1QBawLlUvvJg2CWzl3QenYnrCR5qYuQyluVyW1iI9XYcZzp3ALiOBcs60aeB/JcmMFJ9trx2ci1sWHsfi/MOgKusfJwOyFUP0BqKhUBkUkLo9LoFXIZkUkFqC+YIxzHaD4OwK4D3NoFHgstgqNQCoYt3YODcITPzzEKM+Sclw4bP/8ZQYrAyHU2PcfBLrhJRX4TMWfbOIKXeewpkaxF5ugEt3+1DTYM948eIh764MdP5TNJ+2yrpnIus7Jg18zMQBCiemrgdGO4XaunW3FAREjPNhmL08qoreUMlwqcyIVqDROE0M9tO+wgTO25sepcZY3ppYkwly5tZFsumoojBUIJb1An6VTZoVOtOvvDeBkGag4V4klXMY4zDmUZRZrkODDtbpbm1hrcHOUq650tRHVVmIOy8liwRXMaxFUtnM0wGm2awybreJdkqmah2JgY3ncfQJ20oToDINeoJOGOsmGojRacN14TZ0Xr6ceimZBFmcfzGjsGR1EpWb5JdK5S8KKIZBJZX5a5QAqkNc7+J1+HvnMT+rgLvbMFbLWgd3eg3hZZTb25Ad1qjUZl5yE1Oi3s3HV6Bto3Kf/6+U9tSwZH5aTTiIpp/57Hot2PNVJwagtNGjTgRG+eeZR6VwKWxmEuW9oIAECEzus1wLXpWpUpZgCyGLJfYLR0HhMzOcYchMzzxTupwsg4CnBgE+WSVF7O88DN2shnzP1b8M5y+rTLsgiuMTV6dzxENzZHi8gSVYwkZadHC0OnBQ+H4K0WBu/spdJdpDXURit1ZNgPwEcn0JsbL/7CSw82303fiGP8Ks2bZdtcG5GTqz8NgNiA2x0Z7+2uSLMdnUpxar8P4/ujvN/8hrGIZ1zCWqZCaXGs+pKpqR4bcKrFnDlJ7E/nJKWypON4lcb8EoEUQXmuKMLU61BbmwDZ15Kuv2yk0L+kAOHSOMyloz8ARQZhnXD2ndvC97IFQ+Q6kqaMotHCiWmNRK5CfK4oe0HIR2guO9asxnVM8g/GgJ6MqgVQGKP6u5/JLyumv1oYkoK0eR7SvX7R21VRO4xEWijPwU3aA49TMYCZ5p/p9cGffIHqv/kopf1QpQI4jm2OYsCDAeJuD1Sr5Sr7r3/Mlyq7Nj4+Sin8yz2vMoMIV5UPXKIII3kevN//DPBcUKMO7veBwRBU8aRNcBBI8MdwyuOfqh08cLmtKLRxjmSEdGig+gHU0SnADLdrgHDKQt2LUFIjtDWKB8exbPyCAOz74P4ASdFrnmJnhn5pAcKlGS3TVJdfBxwbxHUX4QYhaCpZ+OxClUalDM8vfVgUxguGyloMxp3khMYyTqUp4J5xHGfG39Jm4oOj0aIoPxDaBlB8ym5V8DLGb4mbNu9kNPtDFVFSSegQ5Hrye16HdoZGIuR5oJ1tkJZiv2RDrWqS7eBYsiBs23Orii26cr3rHfdl6r+PLzxFn8ekIrSyMD72JhQ3LhtoexO0vYmzb93E2XfuIP7GO8CtffR//C0Zn44DuntLgj6tptSXuE5Gz7jGOJyX/B/HMUgruH/0EPTlE2lAAaD+6x9LI6wiFYuWLavwKmOcIub7UviaSMjlpTtL8nOWw2Ge045f90O4XYbb5xEH3aQi2DK5CtP2nSfmIIvGhkc1MicZowIKa5KiwrRpyWB43qk4ORvllRaBJYo8XRklGpeJhyuRWuV8+iRrYc/GtsPOog8chfIvX7Q75VgkxwW1muCKKxGOfl8yH8NM+5k8F2w41SY3QWjVY8rTol56lGmjJijpzP0cioZhYDDExu8fgBhwP3sKfvQU9d/+AjwYyJh7eiASi91e2hVwGh7/XGiRAPTmBp7+e98CNezGMwhBFdH4H6FRrKI9XuNCJGu+2t6GvndH6skSFSJS0Ftb8kHm0jIHy+EwA1PJMV0LJkbnnRYoAnq3FLjqpRxZvb0pzpl10Pyf/upyTdZ8JKHExSCpYC0dRKnU1kXHjI+Os1+KSM8sYQX9lXBZ57kyxniZ9zCOgSgnWJ8U7eZBqpBug+rdN0QfNjagD99JO0+q3W2o7W2J7t29BeW5YtwncagXHRP1nwseE8xzc8RWEdzvw3R7MF8+wsZvPIBpd6ShTqebfchm2GQDOUPg5EWd/goCbW6g8cQ69Fb+kbQeDcgk57PGZCyTf3JFUKUiAYjTM5inz0URI9n4mXi0q++rLis3dZOBqyKOMdxUqHQY1TMj1fY2qpzKQxnZzVQ/P0ZcVKHEvKrdy55AtikD1aqIT86yATs+cIu4XqVARDBpNDuU783LCzGjcPmrVXSakwjzpOtatmvd3gSGNnqctmYfUz6gsUjZlM90cH8DxEDt40PQs2OgWpV2rGedNLKnHj2V/4FcdfdLql+4Libdl3kVKc+zm9yyQ2mQB6EEteog34fSGlStSoZj6IM2WsDxSUrR4MiqyFw3kDAnJ8wcn6L1T05h4tg2K8vJGxYJUgDWm7VlQVKzlMpzksrWfCJwEEDv7kiw7FWXlSsbHEaodBhkGLUnQ0CrTIXh/m2hYSQT96x7+ZctGuZh6JJIkdVKBPP5iEBBoFx3MFKUdvxTtqPVyGeLLDJbhQV2HEnr9xUAhcIhztOnzm/YitnAOcMY1S9OwZ0eeOjDdLowQTi6sbctfc3BkT1BVa4WeplI6gVKOPeXFnVf8iicNN/RgOMgeH0PdNIGYgO1uw2EgXDoqxVwpys2UmvbvGTK+T6pJmXk/WLup+l2pZC7XiuXvz+vluxrFAIOApDnQb/1GvStm1CNGvT2prxpx3TwjTeyPyhDuaXwbywac6ri5yDE5u8fYrit4By0cfadO1C7OwAbnH24nesgwzAnJxJRfVHr54swTwdFaUkV12qjnc2KHkzjxTt5An7RqFVBFQ+qWhlxyCdlIfS929M/p1cBq1T0QiQa6kBKx2DDlla1LZsq27o66faX/N25/18wP9w/fgQ8OxDussqioklzI9IapGUzksheyUZyivt9mcNQln2c1BSlrLGS/955biaWceOSA3meUBaIEDUcsBFtWrZFfURScMp+IPc4DDNN72mQqweY/H4x91PV68A7rwEstURp0CNR91jyjc5csORj+yKQ1oj2N2AOjyR7YiU7k8J+isrNpi++wzynBZ3DADg+g9eWG64iBimJqGz+9z9E9OzgnDTVUnDvrEQPB8F5Hc4iYTcBPPSzDYGJy5m4rQbie/tQN/ehbJMZ0lpUCHLQ29s4+pnbWZFmERNpFY31PJ3mRCWiBLBWaYaDFKUNDwDkGumYdJN1bv5O0qi9CFEEqlah9ndh3rht/86kBX8cSZdJcp20ijs9XoFjaF7KBQBKo3a9NDu67HPZZPOWHQKC0CpgEKAtf18p+ZzWYNvinKd1mudQOJ6AhqHM5YueURHP7mXKNZaNZR/bF4DjGLonAQhmTmUGk+CH99HjUgOSi+8wY44pO9+HDhlwHbR+6yG415dd7d52SjNIOXYzFU/M00FRmaqE4xbrPOZhnQWTtKnMd5UqGPzsEOqLZ+CjE+HjBQHU1uYo6Z8Iz//t97H7z79E3OnYP5zyeeWvY0XoCyOYc1SvNJWIipfxM4GsuYGJYXp9OXYYpK9NvXkkAjUb8nMUg2IWp4QUyHWgWk0AgGo2xJBPitYWhLlrNK9o5GoZYYIQ3O0heOc2zl53QZst4O4tQCvwrX3Q9ibU9hbo9g3oG/tWFtXY9cBdWH16DkLAGHCco1UxZ2twUY77ON1jlZzMFZ6n6vmJ/F+pIH76PH2dtEZ8eCS2/VVuXDKvLn+oVND8+AysFHo/chdmMIRuNvD0F26O0hmWBUpnupvKPuoSNx9p5MLEpW4KTLcrlbK+n3JC2Q/GirkUKAbMyelKG49CMO+Fs6TnEbcqwP6OjPmEepGkcJPixmQOz3jNZqsphSabTahnx1B7uxJNDkKYjrRtp42WKHdY/m+qzlGkHbEFL0uLeeowj2Oe6jAlIKH4aD/Gzg98kY3TBBwcg5jBJ2eimvHgMczxiUjKJdKKycZxAaFq1SwynkfBwYqX2hBojWtDVSpQrSbiwyNQbbSzL0cR1O5OGmlWs3D1LzuHwr9xWcEMqlZw+rUtqG4fJ++6UJstxN0ebv2z55LSzRe9LINRNbFNDQ9EhzPR4ATKKd6xRZLp95flqNoCQw6jzDG3Eb4UJsbO97q2VXGBvO0FXWTWAHTHTzmaHISj3fXGo8mzbOiYQX1f6EeHJyLrdXwi1Cdb+AoA3O7ApFJeo92o5oJSuvKVICu3aI7LkmywyfNA1Sr0k2NUnnRgzjqgYQhqNaXWptuzjXTEAaUc136Rkc4hZkm7JxuqsjOzS3Bvroxl8E+mALWaIM8TP0aR1IkAYnu7PYQ/9QEA6Z1RRsOyxXeYmecTgVAa0ArDHQUMfahIdP90swEa2HbYqb7rjIOxLB7xRcdK/pl4tGlDkZioeTsfHVcAWZvsHIxX0LhZJUM6Dp5CXmpBYTwH5AeZgkoyHvMtwNOI82zPlMIISFoO72ylxYbkeeAkfexI8ZWqnldvKQqi3nPBtZQxbuekxbvGFWAMOAwli3ZwIhSgdhcY+qB21sAHJsddXgJwEIL8MB1n5DiA0sVnmlfE7r0qML4PDP0sK2U4y5zbzqveb38MANDNRim9OxbfYU5aHxKNtrQtA2GE2AN4s4Xd7w4BAMG330F8Y1OOnV8slpXLWpLzR64Dvbcrv6TOSUk85uQ7TVZEpbe3Rj+jNHr3qmm/eQCr7fiuAQDgipcV84yoL5ji+I9EeP5zdxG9cwfUqKH7jduA60nhaaMuxac5p13dvlmavVA72xee48y46DsSzfOiNsQvS6llyR1/4/swZ22w74N7Pakh6XSzjEccgw1LO+l8++BFt4NswN2eRNC1zs49wYJyr9coF6pSAayOOG20AEUjAUCqVmSsl3kOpX57UbATXDUb5Rk5NjDtDrqvG1AQovLRU3B/APd4AH3UOR9ZWe9OR2EYZn8LynOzyJ6Jy3EUSGG0RaoCXHfsI4TmFwNpm73GZKyYRBO7CmZjlNs2UepwVooOM2ontlqbGY1f+yi1B/HRiXDrgwB81paW2E+e4cJW8TMifvrswnOcCYnu8kVvq8vfvxZelgO36I7jC6BqNckwaC2p6mYjlTPkIAApkg1cIoma8OgXfM6zYSCOEX/lPshxMlpT9oHiDrbg92KNMRgpWuVuF3A9gBScWzehajVbr2SgNzYyVbCCN1czWzwi0kT0u0T0X9vf3ySi3yCij4novyQiz75esb9/bN9/41oHSiREyozsxjHYM0Ag6SCOIvAff4r40VNJuSZNHpYlujyuK5v/VzTY4PSrGzBJV0SgvEiAic9JdHGnM9LymOMY7mdPRah/jYuxLGP5itCH7bQhAcfxeSnFvCM4g8PU/KMjqdb2hUtnuj1wFAqnzgiNjDxPomWJPngJDlopHVCTe3RJUOBCabIld0KXCRxGwvEFJJMWhDL2bcMojmPwYCBazFYxhsNg8Z8RG9DmBtpv1RF8651006tqtSxCXsQ6tnaWlwomCGFOz4Sj7zgyTqoVBF+5AxgjXVVrNdFmzgfQCnzORayW/z6A7+d+/78B+A+Z+R0AJwD+hn39bwA4sa//h/ZzV0PiFEVRubqjRIBicBTBbLVAWsTfyXXAoRybXEe0f5dhso3ryhYpyTMBUZVGn8+kqFqBx06cEr2zhfgsc5SS47BfEl97VfAyF84SNlPttxuIt5qZdmviGI9FS4uwIdTuijILM3Br3xYbMuC6EuGzvFHyvOXQa8/jqrz2osbPMtjSBQS5DhCGoh7QqAP7O6IzzgxVq4qjaSPOpHVGo1GiIlNG86pCwAzudKADBihTsxhpQFXAOnYu+7RKVI9F3xRNgUTti5SyQU0FhCGcM1/ssKUccRCICEDyWoH3YiaHmYjuAfjzAP5T+zsB+HkAf99+5O8C+Ev251+yv8O+/wt0oSp5DswpF9YMBuVEVAAkGqpvvS0pTopjUFWqi1UiDwUIT2w4XMkBOQvYMJqPwxEd3HkoZSCOJboCeTZ5ox2ftWF6feFWrxflizGve1Mypal2EIKY7ZxtZo6xdZaTBZfj+Hw9xDW7iPHuFmh7E7y/g7hVsV39pLNaqkjguimf+qVJpy0D1rZ0KlCjAarVhM/pOOh+sCtrljFSDEUq7Typ6nXb1CRpKjWFbZ6nQ2kYTt9A97KMpbEdMwuD1qMZtjVPerGRFK/af+bkBGY4BH/vY1HMAsRP8/3SsnqzRpj/HwD+DwCSkbYL4JSZE6/2IYC79ue7AB4AgH3/zH7+UqRdwazzVZYeMtnJczqoSpOPkzY4DEFv3AO3GrJzz9MAlsUBGz/PEjng9d9/ID/Pkd/NcSwNS6yaim61Rs4JbDD81puFUA9WtsX2ijgsxlUg3zbOcRzR6iSVjoPUSbZtg0fm8TV5kdQbAP0ByBjojx+JBqiNJqf8uRxGNcKXwHaoCdzvcSzDdawweDiUsTYYAFGE5q9+bJs2KKFixLHIK/o+zGAoToXJUTOufcBL5sgLOO/XPlQQoPG9p9AfPcyUkMa5zDOCbAt7+WXs3Nc1SguJpMhP7e5kr8WxbAaZhRJqHesy7NPUI5yI/gKA58z82wWeD4jol4not4jot0L40hUsN3g5jkuJ1nAcw3Q66P/mHszuhhTvnLURbUvBRKL3t3TORYldxsZh2raj3rwW0rEINhsGNernNlm17z2ePQ1PtJzNa16EpHJ+Lscqd+44gxh00rZFIT0gHO0oyLkIlcgQjkXZrpMRGfrg/gB00hZD3e6k3OVEr52DIO1qSHmpu0W3IVcZD2uH4qUjVQhwHMB1U91lAFCtltg8JXZrRJN22ujpZeP2BZz360C1Wjj4qz8K02oIDbNSyc65wMgvh1F2XwpO3a9RPMiTTsWm2wP3erZ7seUy55WzrMRnGc9zli3hzwD4i0T0OYD/AkLF+I8AbBFRMjvvAXhkf34E4D4A2Pc3ARyNfykz/21m/g4zf8fF5G4tpXACbWMB1oB/o5Eex/nhI/DTgwmfX8HJNaPjZKyxJseF3tgo4oyueQIxzMnpuUK/+NnzC/7gmnDd1XzuK3JNTjcAXNd2NIvOaXOndiNfNJq+eb17wFFkjxNLUdVgkDrHHMdizD3v/PeWohpTThFv9vMcdZ7XuDKStuvm9Ez48u++KWPOGIk6ay3KUkCWsla60E1yFpwoTrlC7e2g0mHQ0DYHyutHF3ic/DqRLxhfY0ERx1BbmzaCHAr1zfOy923GkPuD0ihwU1tvZv4/MfM9Zn4DwF8B8M+Y+a8C+OcA/qf2Y38NwD+yP/+K/R32/X/GfH2LS+O8oyJBCpVjwDuzXWQcF3xzV/gy+XTQMioL5A2k0pOjpbNcV/5RKsp2eZOOXyI4NjKpRl6LMz7f1F/M5TV9eZlYIafn6BstRHd3ZIE1nBrTfOpV7Eeu0n5KUK0Geu0OsL8Nev1u6iCrjSYAK4FpX9e7O6mDrm/uFzsXVAkR66RuJMGqZVVWBbaOQzUbQBBCnbTl9TgGXBfqrddg3ryD6Dvvp47myDwo5BxMei5FIfriIVr/6HdhPn8ADoPRNt5Fj/X12F4aULUC0+6AtNSVcRDADAZiq1TWhVntbKe9O4pGGZ7f/xHAf0BEH0M4yn/Hvv53AOza1/8DAH/rSt9mxi5c6/KUMtig8dRAPz1J1TGgIAZovMp+2SZa3kFgU27Xp0nfPSfHjKMQXPXGXrxAAuu6WJJOWdfCZeN4mbj6AKqnBrpjJbTYSNTNcdMGDsBYdmqGMclVD9QdAGEEOutKAZFhkOtCbzQRt7vgjz6T40WRiO4DiB4/zb5kke/tVSLMa7xUJBt47vVB9Zpo1DbqoEZdIrNRDApjeI9OANh1iw1AqrAsbSnZXusc6/294r87h5RmOfbzGouJpKcCVStpob9qSnF3Mhf0jX3wcCgZgxK6khYySpj5XzDzX7A/f8rMP87M7zDz/4yZffv60P7+jn3/06t897moYG7xKwPtNxTgSjcZGAP68gnYMPRGc7EXuBchf+5J448yj1OWmkn+OEqPtDxWjQbAjPiTL7KPWUcl1eSdBS+rI1mJeGEqcomyKdWDQHSRkw0hqUxqsOBIGA18mOMT4LQD7g+gWk3ZrA2H6P6pr8iHrBKBGQyFzpOkw/PfM0vWg6g0LnEaiZ90zCWGyhcFl42y75WWTCE1G9LtL8ppjisCDQOozgDm2YGVkVOp7VdFycrlpRsLArke4h//APBcUKUitI/85r3AY5l+X/4Pwhd8co2XDfI8mK++IUowtSrU7g74K6/LGPE8QGn4H96H6XShb92QTLrnvfiLr4GFXw1HGg+kvxvosbT7zLATv/6MEe+2oOp1eSCh8CDNYCipXdeDeu+t5Yy6JOds4nP3NXl9Jhj5To5CmN5gtu+6IpJov0yYRDJJroMqlawYoIDntXR6uldAwrtNkV+MiorMX4SCHYqo4QCuYwvrzKiTnPwjKiQdzd2ufF8UAYoQPT+UyF0Yofn9Y+i3XhNn3eqC8tC3Eb5cYeEC25CJ9gFY6HO+Cq6iZFoYSr5Xen9P0s93b4gizN6WcDsTOhIzWEs0mWrVrMBNa0zBhpyMEqgSarMF97kUkJPjZJteKy9bFOJ2NzcXVy8YsmpQmxsItyqiXkYEBCFoGIHqdWksxwbe8UCCqq16KTzmhXeYJ0a4mGWwFwmbqtKBXdAqFXCjJlW6Wsuil3RP+vTLYo89D8xLLcPyQ6eSLboO8s4cM1SlAtPpZKfhOOBvvpfpMSa81VmwRNHWK2N8EZqjqkrhGpmhAcJoNAM1YZNTxMaHY1s45bngwRCqVkXS1Y8fPwNF8Uj0mCORu3PeeG3s9RkyMWU+m1Uc65jxfi8YzFkbfNaWTVm3JwEDRYBWML0+uN0Bjk8BW4SaqLZwEBQu0VYkuD8ADX2Yw2M5x0QzOlGyKOq817SjpUPtB88kwlyvgQcD0MMnIM+VAB0z1ElH/LQHT6zC2mLpMM8HE3aVIzI5RcBOmMppDPr+Z0AYgHoDsO/bAjnplqQ8d3YB9XmnNcc1Z+dx/HkV+SUTYiyFzHEM56A92kRlFhCtZhRiha7JPR6KPjKQpp/l59y4t/M4RY7Scx2ovR2ojRaoWoG6sSdOidZQrSbIcxE/eQaqiyTlSEQ5GnPW1w0S5ookBb8KSBo4UGAVYZ4egPsDcZ4BsYkQWxgfnWQbxQV3DhMNXS6bJrHg92GNUfBwCPNMxjiSZmVhJJKeNgvBZ23JoFvFrnMZ1BmxHA5zHomIeVhwpMAumAffdEE5rT8QSY/yagVqZwvqzq2ZjzP3rl/5lHTye5nHmieSLlCdzmhUjBl8dAL9Vi6iN6MTv5Ld2vKO5bLDUWCTjxrlmg0lahI81oBo2pSyNcjpRk1riWz0B+BeXxyZZh16a2skuxE9fjoS4V7YMbVCG6lVBWkNjo1ogRsDk9MeJ61F6rDXR9q8Z5nmOfP5oFjZa8uS8/NXHeasI5k9ReBWA+R5QpN1nLTmwvQG0FubqTLWonX6Kx0j7TyBbFCXUezCBioG+O4+OIrEAOWOZY5PEX/5cCbNRtI63fmvFGwEO3VO5+E45zYBVKudK2Skek06vxWRllmmxeY6WCHHSJ32QLYtNSlK5xk5LlS1Ysena4sBrdScymUmRiLRL1g8mcUZ8QPw0UlK/eAwyiJ7J6dg34dz907u78xI9Xbp1KVZsHYgpscc7l0SNOJWQ+gYhm1HWuHvM7MUBto1VHnuctgxUpKJMSatWVpjDY5jQBFMtwfqD0URZmcLVPFAnpt1Wo2N7fxnCu/Ou/izJx8NyqHwoj+L1hcGcUMqLtkwyHFTzeKkIcKsE3iuhSdzpGOQ50HfuwNVrZZ2jAsRhiP8RHIcmFu7iB4+KqwwpVQpvpeFsgv75ggaBqm8EDmOLdjlkVQ0R2FaEJguxuOZlyvwJE2nKzqg+1ugzY2syl5ROg5NbwAzGIDbnfPqDCVIHhWKFU1Xp+3Ry8Yc7p90vVWg/lCaOmy2RtSAiGiUs63GKEoLDO50V4pvvsbsULbTHwBp+T70YZ4+F75+bNKOlhwE0NtbkmVJ1uyCxvzCO8zJTUhTl9YQpdHfQg+msPFxB85hF87r9+QBbbagmg2pxHQzx3kZjA6AudIx9I390RfmeY9cd5TDbGUBVbNZyNeTKk/C66Vj1qYui4KcPvqITJSJReA+QX5OTDkfEn4lffFE5OXSY3HagS3hz5l+X6q4EyyL7UiwbOd7CVSrGHtwKeakX06KwMwwJ6eS1YhNll2BBDDSeZ28VpacaIHgKEw1d6VQcU6O84puElcFSfdW8jzwnT3Q9qYwAXp9cZ4/fEvUYeIY5taujP9k3BeU1V98h7lWk53yeHSvDFqDiTG400D7a7vgbh9qaxPc7cF0ezAnsiiqSiUTxV4jAymY7Sbih4+zosiy03+5hcn0+uepMp89Ar12J2vfOsMippqNlXIcxrEK0XOuWq1Z29kv4bddSLmY8XkOfu7rkg6sVWVzbZ3ivHG+MMqxDGMpmb8rZOvYOmLlHqRAJYdLoN5+A6pSkQLUZgP9n3oH9ME70PfviuNwcw/q5j5UrQp955ZkX5JOueoCne1FADNUswF98wb05sa5jKXe34fe37/gj6+BRb3+NSaDFGBrVHpvtGA26tC3blq5Xwf6o4cY/vRXhBnw6UNQpZIGN4vadC28w2z6/ZSTNfpGCQaJCL0bGrVnPhBF6H7nddBbr0nHIVKi7zfpXBYVeU7xdfiZU8LUPag37kPVavJC2fcpUTywxVtpRWzCDx0MYH7wScYTnWERo3k2PHgZWJYxfQkojIAwyPjEk5ocFRBdBgC9u436l22JeFQqULdvgpoN4dj5PqA0VL0u+rhshO88fh6YI0VgGqzAmEiR2IRZFY4WCTZ6Ft/YAhwHgz0HpuqC61XJaBCBK67wmk9O5W+WZGPMvo/o/h5oa1PmVQ7kuaBqAfNmhTaCrwQsfY6qVfT3NNTBKczxCTgKoTY3AK1Q++wEqlaFGQxFCKDgzevCO8yqUsmEy3NInaAinT9SCJsE75OnMJ0O+jc0uu9ugZt1kBWAFxH42kzHLUw0/sUHOi8lVFb0gw2cL55j+NZu5gSUHWFOOrrlrkdvb0PvSUvVlHMOZFHmaQ9V9ZajYOZVxmCY0UvYZOlnUln2oSAuPzfrMJ4jtsBzEe1vAAkNxAgvnFwHakM2WhxF56u2mYtX+ykQSaOmlZC+W0Xn6NEzsXEE6UobM/TZANQfCsfzy0fgzx5I4KA3EBWXKBRqmbmgMc2CgOMYahgBYQRz1hl5Lz48gjk4fElntsbLAsex2EsTY+932jCnZ6CGbKbMyakoFH35CGprE6pWLSVruvAeAAfB5bviH/taYQWApAibX0SIj09AlQp2/7CL1h88k/a3SUifjexmFtjYjIAnpINLQnx8Aop54ganNIyJz7PtvJb8XtxxVqc4biLmOZ7LynC0s4WVDWcGM9/ZsiAuP/khVHcAOBrm+SGcw45Elk02TsxgmJ7TSLV//tiz8OJLdmRlw7laLYNXqVtnUuCqP3sq0WRNwLMDUW0BUpWMkRbxS7LpJ61BoShljNtd9n2YYQHUmjUlo3iUdE/JceC88ZpQI8MIwX4N6uY+2I4DajbAH74NQJxn2tkq5bwWfvYwX+6AOQ8OCmvDrOp1RBWhXqi9HTz6uRbaP3oLfHs3i1RqjfjZwdSLFRtemrTYtRHHqPz+5zBnbfn9JTiYPBiAaudVOmZe+J8fyf+rbGTnFUksyTmnagVUrwmHOd00mckc5hlhDg5B3T4w9IWn3OsDhqFq1TTDwkGQ6uKWAeWdl7csvHhz1TaKS+IwXglKKGnhV+6CwxDOkAHXywqeW82sODXfeGlORYmzggZ+uikoBcsS9FoW2MZQpUBryeI5DpgZtR8+tzbXqhxpDdXzwbGBGfrw39wbtY8FndfCWw813i1rDNHTZ4VpmXIco3Im0SiueHDbjOYPz0APnqXnkEZdlk0xYQ7GgTzPiovPqaPUBHqJaDVObqc+C9IOYatqZImWooL+MlCrCd60KgikRjXc8/rHSdETML3j4LqAkkYpHFjeNBvRBm02Mn59EuEb7zA4K4iknmIMhUZQ59HoaN5YJecfksWAJlFnMQz4vowNZmBnC/q+aICTZylleRnFRYYxQH8AHvorlRVYdZS2hhgGxQbYbIKqVZiDI1Cjnr2/0UTnK9syVkwM79HZaKFfQfN+4R1m0+9fzvMrrK+8fI+/aRe1g2Pc+O0u6OkBaHtztFJ3GQxODqlSQOIclBRJJM/NUt8vEebp88lV1LNGVpbsuV8JeSm+Jc98mIMjULuXPSczITqaRExn1OYmLZkoso4zokhoIEMfCMKscQqzSH0ljnNRyMnWjb8+8zjPFwuvGuY1h+fVuIQN3D/4HNzpoPFlX6S3fF/eOzgGH0tLbKELxUuzCTK+L1zlfn/hz3WNDGWtIRyFUF0fZrOeSnRy1ZONIACcdtB4kEkNUzDWsKygMbTwVlFvbyE+OgED5UZ1icTQKEA1m4hPT6G+5yMe+jj58+9h/1/EMF88GL3xSi9FpPmcpEqSph4fRJNeu/JBxFkgRS83iMMMMxhAF7zgL7sz+SqA7t5C54NdNH/YgDo+A/ui4cpBIA4EIXWgVbUqWs1jnfeuPP5JybzyJbvFsRGnOI4BG9kmxxlR7Ci8DfZF5zqLGozj2IZN9n/XEWWJvAO4dmBejHlk9GzraNpoAnEM/eljsDEixRrH4mzGsWzexnsHLPozTOpR1lgeMAMocfF/8hwURYiT5lRHp+DBQHy34RDqtIcYAIgQP3paim+2+BHmTvf8i2VEQCwPZufXHmbdBW3Bwf6/eAjz7GDCyU3xQHgBZOlKWGiBCY55SXDu3QX96Iep8gU5DvTe7ojTE3c60Nvbo9H0WRRC8lzYVcQKcFUpiuGdRsDRaRppI6JsPucw4iwD1x4bCVc6ieaprU2ptcjx5qheh7p14/wfXzPDo7e3hRd9kXZuCeOSWi2oaiWTbQQAZpGMXNV5sITXRfUauNsDNero/szbMEEItbUJuncbZNdJqtVkw5/KcKqlvNY11qC7t0CeB9Vqgbu9zOeIY1C3L+O7RKGDhXeYVaspC1HeOc3LpRV5rFpV5GqIQI6bSkHFj59lzTiAGdOdav6FJ5MaNZQQYeA4Hm0UURIGH9zG0Y9sWL6y6N1ia1S5hBwXJ3/2KzlpsQLOadGjMrNgRRZQ71lHmg0lrasHw1wLbJM5xrPKasWx8EVNTvnCMBCJFBbYgPt98FnHSh+azGZdd6PtOOL8qAuKai6yJ1M80/RcEyqcMSORcTP0V3ceLON1MUtjrW4P/RsaynNhjo5hvngIE4SyMUyUJtjYgsCXT5u7DKpahXP3jtAglV4NWcNXBWUVdDsucGMXg7d2QPUajv7C+6A37kFtb4uiiuciPjqB3t3O/VHxftbCO8wchufTSUA5TmelIu0UPS+tdtc7W8IVzB1Pb24Uf+wyUUCjhisfZ1LBXcGofnaMvd88yRaBOAY/fDLyGbWzha3vt4srQFzgBaYQjGsELyH4rA3qCI8TtmkJR2E29gu0GRyG0hDC3jNz1hat9mFuYx3HEuW2ju7UBTG+f6l2+4XfO83zZCPnWqsCbGCC0HbLWvil4upYFQdMa5huD6pWhdpoIXYJ1GxA7e6kGyzn9s2M50nq8kzFgoA8T5x81x1p9b3GqwuOQuDwGNo3QBRh53dP0HvTZvW0BlXFXvW+9Zp8vqRC0YW3gvHJ2cRUf8LfKgxECN+7C9zYBTwXwbffkePaY6cSJUSI2xNoIldFPtI0LyTR5bwywCSjWcBCYgaD8h2vgyPwDz5Nj8NBOFoxC4A7XQQ7teyFBV4gXiqSjnMrsCiZdhfmUOT/5qHUohp16O0tQJEYbK1lw+i51ohX0m6DaRHgNFHfJHoNTKTNFElPk5SmkSYAaWSec0WSy03bAbAa1wD73A2DajXEN7ax9WkIHgzBdSlQJ89DfGcXtNkCaYk+07nA0+LNew4C+Wc3n+v6kTWSTIr33S/AYYTB6y1RhRkMJaBqs2AqSOqzTClr2sI7zBdVs5fRIctpD8ENMTadexXou7dB21vQuzsi4ZQYFzMh4r0MGG+cMO5MFLGQzCFKabq9TCHAqgVQtTryTMzQR+e+90JZwjWAtGPikoMjG/UNo8mcbDbFRRcNS1GhzYBRSzpOUb2WRWMNZ0V/yc/TjENL+xjvagkAUPp8E4dZbJPWoisdRjnOa4G0pgVAGnFdAZAnKi2qO0DtNz4W3eWjE+HwhxH0kVCU2DCYWdaxce7+goGjaC0nt8Y5qHodvZ98G1AKQVOjcjgE7t606kRDsGHUPjkUlkDRqkTJORT+jcsKUqAgwvB2E/HBEUDA2bduovu1m8DOlmg958nky5SinJSOnuQcL6DxnASOonPnao6OR15T1QpYWZ1SYPbFfkWchQuxClG3RGptUke9/O8FPEuqeIBWdqOmUmeYB0OhUIQR4q7IHCWRjmkdAI6iLNo7du4XKm/McI2ci2aPnPOS2IcXYkUcsZGCp0hUMVSzAfYDUXGJY5hnB1I4z0YoQmV1bizQPo6Mv0nSkGtcDSu2Zpl+H43f/BwcBNj4pAv96WNpKMZGNopswKdtyU7EcTl1boV/YxmY9OCLnkRsQKcddO45ABt0XiNs/tYTNL5/ANhe9iOpz2WaxEoLhSVZ8FaFw2dBnneuiQM1Gtj/1aeZk7HmMF+OFbo+ctzJha4QalWadRj5o+stLjwcgioVcK0i3OVuTwx0kh609kGKYGfgLwMi65YvWMyftudCNRpjfzD9s+QgsMVhOe53/vtWYJysQjYFkGclsn8BzLMDqGYD8VlborOR1QLP0XkyR7SE6y/jO5NGK2tMh2UK6l0R5Lqgd9+E+uwxwAxqNkQ167U7UPU6+LVb0Dvbcu2voqwcgMmTseAJKmnIELEnC9vdf9EHYgPzxSPhySidGhzyvJmOP2++KGmdOQnKctk8b0Ih5XLuSJNFfuS1Xg/Dt3YzmZklvba5YMUM64XOHqQhQpp1GPmj681najTAzTq4XhGOcRgJn7TVSvn0o+25Z+z0d8H5mX4/bX9cGFbAKb4Uq+KExbHUb2y2ZJO2swXVqEPtbKXSW2pzA6SVXbNMJim3yPYwUfMo+zkt8j2YBfb5Fq77/pKh93YB10H7AxnfKd2t3wciyfCpZ8fiVE9ZL/IiLHzjEgAg10tbHpYFjmPwYAgVySLrffIUZncLdHAovD5F4DiGc/cOuN1BnJeZuybIqnGIRJPJdtIlLVQchanAN0wME2Dy8ZZkoSRXVEzidjt9TbVaiE9P02swgwGG2w6qrRbik5PZr62IKPUa5eMFmyNybJeocVtyzedrTk6hXAd01oFxHCn0831wpwNEuWJTrYHYSDV3SeaLw0AajeQ50vls0nXtZkI543g1x/2KXA85Dshz0fvqTTR+10dwZxNu0sxkfwcIIwzub6L62z6IDZhI2rnbTMg8CmOnRpnR8FcBL0tXv0R7wf0BuN3Bxv/vGOw44DACPzsARxFo6MMMBpJ1cZwsaFIwFj+0pDTURnNEpaIUkAL7Pja+kGiNaXegjk5B1YoUmVlppfaP3ZMOSlNC1Wp49L/8Jp7+9R+Bfvt16N0dODf3obe2oOp1qEYDemMDqloVx7BalejwBSnmqyKlLNgKUpGAe3k7UP3e26Ptxq8BqlbOKafEZ+1zqePtX38E0+1hZqxqJCLBqkTcElxiKFMu8IygVhPsOjC9vtCdtM6oQblCv3ScGi6HCpAoxVxUUHhNZ5kcyT6pRl1sb62WaavnlXbWuBxzsBnkeVKU7htwGMI96IHaPdDxGfDpl4CjoUM7Hm0WieNYHI1kvCyqQzoPm7So114Q5k49KjmqzVGE8CfeB9VrGP7Y2xj8qQ9ANSmyVlubksX72nsiR6g1VKsl5+R6hdmtxXeY2WS7TSAd5EV3+iMtlIvav/6hHMb3ER8cIvrqG+nkdV6/h+phMPNAZAJajyIxqrEB90Q7Vu2ICDdHUVrJLbrQbq5ifYouTTymR5u+/vIcJbNZB1z3xR+c9LfdrsjXJcjJXumNDegN0ck2zw7SIpdzPM/roMTOQS8dq3hNL0AhC8lgCLS7QGg12n1ffgaAWjV1UArvSHoRClr8yXMBw1CNutgbY1IeNnBJkeEao5iHM6Y12HOhfbF9/u1W2rOAwwh4dgjv42fSwKfTEU3tcA5Uh1nBPLGwe41r4iU85zKddKpVcfRBFQhCBBsaFENqz7RC+No+SBEGdxqpHU5s70gh+IxYAoeZbdXjGEe14AeTRJ6Sjn4cReAogvvkRKgYr9/HyU/chvvDR7PdfCJsfh6j/ngA6onTl+pOdrswgyHM0LfHD2H6fdF9NnFGS7muIUlSrDZCRI4ruy5mcSRfgtMUV53pnYnLrl8RqNUEIHzVNAI3a9vutfFeHlySiSFVUBSkUgF2twClQBtN2dAmcmWJ7jKQ6hqXungVGPVNCwyJbKW5yYoY13NgsRDHID+A7gXgIETlcRtsDOBI4ToiCcpwFGVqExcUj66xQnhZNTt5vfYyvn4wxObnoahk/OERKs/6oFYLcF10X5NIc/2LtkiLGhaaXNKQq6DxvvgOMwBOuk3lUHjjkgRjjrh5fihtsj0XKmSY49OZb/7x+xr9OzVwrydFO1Yz0/QG6W4oaUGbtjIFpj8uc1YxnXTGmyQvNMdJxppmk3e64F7E7S7iW9vnPsNBkH2I6PrO+ipyOYFX7prS7n/X+JtJMG3pKgit0fvwFgBIsR8b8HA4UkjJZoKsY4EowxbGxyeS7bLdCicf+NXLTlwZc7g3HEXgbg/06UOpUXn0TNRaOtKO3QyG8nr6B2tH+VXBiA7xisxTM/TR+IMnADPCGy34N+uIbm+DiKBiBhRheLsp9SKAZAHZFNrdcjkc5gkFf0WnBlOt1PHF1HbsgjHY/PUHM+tYchBChUD9sTVkaeGFGS3CKDgiNRKRz0WpR/jYczSmKsi68xQKE0M/O5UIeh55KgvzWhT/FQUpmty44ppRWtVqAlEEIoJ3Kpsx0z4vP2lsxLa08ab06GZwVlhqWloUlpy7jVpxmDvW2vm6GHNQnuEwgul0RaVFa+lSq1RGuzBWF3zFVHDWuB5WhUalalUMvirBieG+h/rvfQnnyQnibg+tPz4DDMMZWGlPNqkaEvv+dJn5Secw8zfMA5Ocx4J3TRdWDMex0CWaNRz8mddnv+mKYFxYpy2R+ZnwGApcjMhxZEOQkPLz925Wuaspofvh7DSJCxA9fgrVHOMsm1ioKIkzc937u3YOlgsXPC82PDliet1UIjM4imEGQ/Tu2lbEiULBRjN1NkdaES86dxQAEZ2XvVzgrnALiTlF9Mh1JAswGEhm9LQNHgwsrYazAr8COZwrhxWJvo4jH2Qsa52dN9j3UfveY3Aco/X9Y8nkueLbmLrUQ7mfPIHe34OqVLIxX+AzXhKH+byhvjBNOC0Sp1Vp0Lc/BH37QwCSBiAimKoDMKC++dXz0ahrPBDyPOgAiBtuJgWVP/4U3/kiZBw2Pl9N/5LaInfeaUkb4aKQfyZswEEA583XRz4irZPXkeURrOKCcdE1ERVGX+CeZGbIdbD5vRMAgElqEvrDdBOaLlZlOCzJmM/PZ6VH6UbXfL7G97MuWZOiMqs4XorGnCS9qNGAurkPtb1tZQttAEbrLMPGxjoPy7PZIWeG+pZrHWhFaXarDGOgtjbR/co2sLeDs2/dhGq1oD97Kp0tO11wU3TwOY5BWqdSokXUeiy+w3xBAU9pEk0mRrRRQVwXg6N3tkDNBvRxD3u/eQR2ch1kplk8jIEKAaOlnS4pSjk3pTQ0URp6YwPOzX2Q60Hv7Qmnx74HQCJheemoOcDpm3N88SvDSsUkcjGqWoXe3hz5iNrfxfM/dWfkb9YcvglY1fsx3uGvXhfZN98fNZxTjndqNoSSUasCUTyy+eNeD6StjJfhnLpNCeZ2PDI+aztr5tFzVXq1peTKurY5zCvudGCeHwpnOYxgOp0x2TgZC6bo4FLJUPW6ZAgXvcHKImMF7To5jtDeogjNj86Aw2Ns/vpDkf3t9VIaBg18oSnZGrCURlZAQeLiNy656MGX0Bo7mZyVP34MAIgA8N0bUGc9oD8E+wGUIuk/MJJqvfrgpGoFUQ3QwwjUqINsBIpDG4kiBdDo+czUVVBr8Fv3cPT1Tez9MwVUPChFMMenULWqRMCIwL6fFvkgub4SJ513EgDhlNxLZpkEuWcQn5yNfiaKsf8Pvoe4gHsIYLWjEfO+rmmaaVwHY9ejqlXh5uYLoICZnikPhuIsxwbkB4hvbYOOjsFMwinOOZ2FbO4n3TMTZwo444XBiSM4zX3OpzJXXB1DVStSx7GE85tjAwJAmxug07MsAAOb2cgFRJYJtLMFdjScRgM8HCI+On7Zp7TGAoBjA729BXPWhjoVmURUPVHGqlWBwQDOzf2sLiyZ0wXO7ZlCHkS0RUR/n4j+mIi+T0Q/RUQ7RPTfEdFH9v9t+1kiov+YiD4moj8gom/NdOZFt8Z2XKgPvwL/F78DHvp4+FfektRQbwju9mBOTkGOlodhpdlA6toRCh76qJww3McngOOA6jXp/Ke1TaXZPUyy4M7YypS0AnUH2P5uW2RWmAHfl+PYhgtJa910YVe6dF5z1HCA8cK86yIvGTfeGtsPJLKyYpXChWMV78vYfGFmmF4/sxmJoznLRrRaAW7sgioeEMVQQ9nwqiR7M/75GefTRdknctzJDpGZsjNq4oADk+/PkjmVeZwrBAZG9dwLPdgc5pUiGYdRJI0bbMCDkmYzbCQlndStFB1NL+ka4+0Wwlub6H/tDqKv3IdqtSY+u5mxxGP5Slg1264I/vt3QLUqeKOB8Cfex/FP3JQ6s/u3oGo1xPf2wUPJqJBnM9CJSsYCUDL+IwD/DTO/D+CbAL4P4G8B+KfM/C6Af2p/B4A/B+Bd+++XAfwnVzoCkXS6KzktyHEMimPACD+6f1sqj82Dx4iPjkUP+eAQ5vQs/fw0+qqkNfZ/twcoJYT1alUcWUD0WynTbx3RcgWmmgAcRcBZF+qzh+CjE2kvGYTCnx4Mz0u72TbdbAXwy4JxleiEFgRVr4/8TvUq4h//YHZJvjWKR9kRr7FnzUGQHjPpnjkrN5c8D6buiTpBsslVKlWZ4Fy0L1OamP66JxbuEE1uAVvEvL2IPrLEafKJ9QtlFTTOw97EsUiuDobgs3aa2eDBIB0vad1GGRq5ZbVAdhXiugPjKhhPQ220QJ6b0QbXeDFK7rr3UmAYamgDlqcdsCLoEGl9FjkO/J2KbCQdB6pWBSkScYWCtPCndpiJaBPAnwDwdwCAmQNmPgXwSwD+rv3Y3wXwl+zPvwTgP2PBrwPYIqLbVzqYPh/xLLwowMTA8yPUPz4CBwEqR6ITrFpNqGbWmGBmAXitETVccK2CeLsBs9MSLm+yuKokuiMNA0TdIscpvKbB4DgGdzoiMRQE4E435bVxENgmKWFW5JMU+pTM9w02tUTnZoXlXI4UczHDtBo4fWe61tuvFF7GRqLsY44vFrmxfCGn85rnxL0+evcbNuOkMLzbAlUqaeMPMdTWSS5T1qvoKHDiWF200SzDLszLCSqTBvSScC6wkeewJ+vGkgUL1DBEVFOoHg7hHVh+6rpY+/pYNTlBRVCREV9JazidAI2HA+EuVxxwEKD6rA+EUdrbYiRQ8ZJl5d4EcADg/0VEv0tE/ykRNQDcZOYn9jNPAdy0P98F8CD39w/ta5eDOdXVG3m5JGUHisXg1A6sogQp+D/1FejNjVxUefpFg30fuh+BNYG1EgfZxGlkeYTLbLJFfurjMsMEoXQQ9H1xkINgdDC9hEXQGZhz3RunBhvEpzkOs9KgJ8+x///5IfTuTkZrWeOVwUVqKKRoMm3iuhHmjRaan5xJcclgiMrjLtgqTKSfSWhbmJ2Scf4ESuTcqiyjNVGxYD2XFgMkheNmMMypsYzp7S/hJoH/6GM0f+1jhE0XNPBhuj3hqwJL5/y/VCwZd/2FiGPow7aolp21oTtDuF8cAMxQwxAcG0StisyHIMiyLOPKYDNgFofZAfAtAP8JM/8ogB4y+gUAgJkZwLXOlIh+mYh+i4h+K4RtUx0E5xfAMgZDHKc7WbfHUJUKzMkJqr/7BUzX7nIL2LVRbEDPjuE8PoY6asvC5HlSWZ/jKqbyTkVc6/h3lN0i9QXfSzHKM+ZG0jbcH8CctbMuh7NglQ31JTJsq4aiVAO43YF6fgL4PjgMMbgvEeYR5zKNbMyWDtQbG9AbGzOe8TWQi8hIV9AxOsgy0hcugKqWlIWaR6e/OE4znvlnlG7OlljhxHR7OHm/Av/1nbTbrb51c2mvZyWRk7DU+/vQ771d6uHIcWBaNbAfgCoeeu9sw+xujNDEnI6f2a/EXyvQvszi/T0E8JCZf8P+/vchDvSzhGph/39u338E4H7u7+/Z10bAzH+bmb/DzN9xIZGgIncIF0JpUK2WavgRA3TvNjiOER8dp9IkMxfvNBpWmo4BbXnMjYx/S56XcZcT53lWJz3frStPuXiJ0JaLNBWSAhb792wYemtUVg5s0PnFr0tqxiqBrHFNLPMm4YI5o5IC20mfv84YubknlKmtTfCt/azD1AWb6llsGO3tyPEu+8wF/M6ZqGuTin+XeR4l5567BrW3a38oOgNQfjqcFEF5Y8XnSorHQQTVqEPVqkv3zBJpPKc3Nl88txzp1VVFyWNQNxsi1+k44F4P/OU5d65QcBSBHh9YVYwaak8H6L8ugQT67JG8/ugAVKuVtnZNfUeZ+SmAB0T0FfvSLwD4IwC/AuCv2df+GoB/ZH/+FQD/jlXL+EkAZznqxsXIV22PvF7sYHBeu4vP//pb+OIv7oIcF5vfPcbhz95KRa/JEUUJqNmrjSmhWlQ8ebBW0YGZQVqdp5vMGmFOHOQFMpxxVc9U9EfK8lTtos6v3zn3mc7dvN7uivG5isQyO8aTcEmBk/H9yQV012ydSmEEeC7M0QnwxSNUPn4mqcBY+MvQWqq0C8gOcaJoM8HhSz9zAUVtqkY91gHL6ieszRs/7gLZk6sgbYmef86O2IikE+oyIcmWKM/NZQxNmiU1vb60B162+c0MUgS3zyP5aVYX+AJrnEfSpKzUQ1id4ziGGQxghsNSj6fqdZg3bkv2uOKC/vAj1B73kDTrUZUKTLttM/W6uOx8DrNWzv1vAfznROQB+BTAvwtxwv8eEf0NAF8A+Mv2s/8YwC8C+BhA3372xWAGaTp33aTOvzYTohjhBqP2zGqPPjvE2bu72HWdLPVlopkjzObkBM6zOszdfcAY4OmBVDfHsRQVxhcUDM1ysZSLVHNOozCv3woUqo9LjnNpS87htkZzhqI/cRAScX6MtiAGgNig816M264HDoPix8sai40LOL6kdTGtYoc+4tt70AC4VgEfnWZ0KqOkFuGcAs2U1KDT9liL7fObX3Kd891Plb6+3bAFkxyFYKMAJMV/E75nyRwxIjrHD+ROV/43BWfd5sEdJjVxPcqyGctr8NhwGlhKQNHy8bFfCuy8V54LMyzxnoWh1HCQSoMEhXdgzsEMhtAPD8BhAH74BFAKqjNEzAam3weHUbrJJ0XgqHj7NJPDzMy/B+A7E976hQmfZQB/c6rjTNgpJWl21WzCdDrTfO0I4v0ttD4HKGKRhRoMEWzHIog9zHgxPOP4o0oFXK+CiaAeW2dZaxAAGJMV/eUxa/OAVDppQuODomGdghc5zJV2DPanb1wCmJSfRJqgDs9gcg5JfNaGc6agalXEYVCMk7TG8mBC8xKOTdb1KcGUTiwPh1BfPgHf2ke0UYX+/CE4jGSRiqPR1HEZjmX+O5UWOzKOKec3R2G26OSpJEvY3CMPnnDuPLBRsaJt4TzuFRuACcafIC2YfmZOz6vg61XVCmjs68I729BHJ1nTqiUei6WBaPLmuQRwFEmQL4zEXkzYkBYJ0grcHwj1YnNDgoyRbX/tedYGanGeS4quL0d+Y9LEUFrSDpMWiilgag6aj2Jw0hwpjnHrVxW41x8tkGMzKmF2TZDWiLZq4IpG+P59abELWNF5YzlnSgyGldNLheeXIWWYbyZyCaKaEg73NLDa3EkaleNYuv/ktZjZYOOTsT9b63i+kqBKBXBdcQRH3phh0d3fFdpCfwj38bFki9hINT8b2XSbnKM5A7g/kIXignPVO1vn35tEobjSwTI7N9L1cwUclEnBiNIal8zjXiVp9/yxxutT5mXvCr7eSeu689Hj0W6da1t+HszpOJ+0QSwS5DigVjPLcuT9lBKeDdVqUvO1vYXuT72BB3/9K8BgCHzzK6A7N6EqFei7t0WDuVLJqGQFYjkc5glInNaidlKsFRqfnEAnX2cYW394CrW9df6zszrpzGBFcA+65wycsTquHASy6CYayfbvZsKLBnERnIU8/eMSRFVJ4UwNS5ORzYSC6XbTjoUAAGbc+JWPhcOXvFSSFOHKYdUWIsMw3e75+TPDfOKKJ13WjAG7TrY4lcD7Md0u4m7vwvfj41PZFIz80QwRFrvIkOeNzuOyFArm5tTNkVayCI7qAhR3zwKjR+8h9/trG34V5FUiSkTSUZJcx/KGc92JSxh3PBiILX9+iPoXPYQtgIc+hrfqiHYa4k9EsoEsa7OwHA7zpCIX67QW1TJT9wPg4Bg6ZOhmA1StQHV60oWvSB1fRWBXQfdDmI0aqNkAJS2rITy7ZPFLK6CLKnQYj0Rc9v60sOd6LvU9/jGDVGf62ofwPNBbr1leMk9eCJWGOTnJoopE1y7sWmM1MLEb3oxQR6fgZg2IbFrQcn9J6zRCKwcv5rgpxSOvhgDYyK+B3p+gojGN3SLKZBgnif4v82ZqnnN/Dsci11vZrFnKYSZk17e23VdD4kt4JbQTzx/G9yX7ZaUn046qbMqJMLdaoI0moBTihov6U4bp9tD4gydQgahhmdMzyfaVtFkouF3eHJEMimqlkAVRDUL0fupthA1C70++D1ZA45M24lYFrlLg0zZMtwfSStKuBKFnaH0tySiODcK6A+fMhzrtgbs9iYxqLT3Q2WSR0iJ5t/mCvjLTq1eMsO38zol0IEzOB7jWObFSwpP2/RxHO3dsWwy4xhTIF4euAsqIdjRqoP4QcB2wI5KUiCKJgqS66homV/8w/cEyekdavDrWiS9+dpAV+SXXaz+jqtWrV7DnquvPp/tnrKVYozA4t27ik//1W7j16xHcXgT3aQc4PBYKoWuVneo1wPcRW7qaajURPXt+7TXrZUFFGCn8y7e4X+PFmFgPVSSMZMLJcUSDvl5D9MyqCJexhrABD32Q58I96uH2Pz5CZDsZq6EPk/StALIi3oLPYTkizJdMbFmgCriMMBLlhocR6l920PzoFHRwDPfZGTAYgipe1vQg10L6uoaHKh5UaMCOAgUhkMjVGeFGJzrMCZd5pHho1l3bPCIRV7wX5o8+Shdx57V7cF6//4K/yP8xg2zahRwXqiF6kGw4F3lT0Ftbcj6W777GBEzS7l1rnb4QNPBFsz2S1tiJnFdCYxhRtSjCPqVFx5MXAA4DyYyNR5WUBt27nTuXFz9bclxZBK1sY35OlYJVnJtl21rHQfWQ0PidL+F9egDqWW6v60p63BggCLNusVEE0+vLz0vSZloPDSjIHOSRtXbJ6SbzAOVrhMoYj5ZSyYGoZXA8WutVNNgPwN0esLMFHJ5i8O4NycK7HrjXg2q1bC1YXNoathwO8yUgxynk4VCnBzCgfQP64jH484fgbg/xg8eAYzmKkyIs15y05LpQEUM/PQFiA0QRyMqrEZEYOlJZW8c8bWEWA2HGjM1LhvPa3ZR6Yp4dwDx9/oK/yKCaDTz7mZ0RXdVxzUXSGrTZSn9e4wJMUg5YK4q8EGZvE+G2FcjXQpsiTyJ7qlYVJxoFbj5eNHeJ0pawo39nEH/65fnvuexQNlLDcTzaXnkd3bs6StYLNien2PokBG80AQDc68u/oQ/TGwBxjPisnXLfOYxsBnNx1oDLQIoQ1xRMNbPdazt+PRTR0fQypBQ0YJS+VRLU1iaoWkH7G/sAG3hHQ2EY9HpQGy1wFEElDcxIlUJXWnqHGUAhk5+jCM7QwOmH4KEvRXeWGjF875bs1As5TgyQyNjxZjNTyWCWHZttjpJEqEa6/U378PNVq/Piu73gOM9/7i60Lag0w+G1RM9Nt4cbv3EK0+unouns+9JkJjdp+fRM/o/jleT5FYplUWFZENDASlsZA+oO0nGXbAI5CHLFunNwNElNpqYxX78A8CL+9QT95zUmIGn6UuYhNlp4/DMOwtsbOPqT94Bbe1C7O1C1KlRDamP0zhb09maquqQ2mkh0tqdeDy76fJnjIlFeWhf8XQ8lb4oSSdy0m+SISkaBdV/J8SouEMdoftoF+wH08xPx0ZJjxrHQWJmz2qWC78HycpgtTHLDZr0xUQS3b6D6EqERJ4uhtzdR+d4DmJOTAs5WEGw48B6dASdtxO22cHET7k0YCVeH1PmFdtprfFGxX5FInsULjqPD6RdfjmOox4eZTmzyes5h4ChEfGqjbfNoIrDGYqFkGTSuV+A+PQMbI3VJtRrMWRtUq0oxjGEQld9tK4H62rswf/DHYy+OcZqvAiKoSkWyDFqDiGCCMJ1r5IzJ8y14pPKlIF8/UdI4jI9P8O7/U4PbHex+0gJ3u4gHwxHeqvLcNDNqBgNgMLDORC6DtKDPjw1DDwyctp9q+5LW4LUtvzryY6+MOo4oAnzfyrep1FkVFF/vYB48BhFBffYQZujD5DjU8eExOApBeX+gBNu79BHmtKJ7RnBsoAcGNAigtreydH8cA3YBLCRKG0WonIbAmRS8cSjVnTBso9hJdCdfwLZEfK0rnmfrgS8FKlMdw4D79m8vSH0mqSJyln5POB+sWsvZkudL3PDSzmM89GFu7gidSmnh/+YzQ2WDCPRoAqVpyiI9jq3tmRDRSzely2ST5g1Sku0CSrtH6vV7+PTfex3hN9+WAtRqFeq1uyDXgapW4NzYg9rekmK/Wg2qXofe3Mg46dNKBF50PUWr0FQrUKGBenhgX9DnddTXeKlgw6BaFZT0Pxj3i4qmQ2xtilLG1ib03g7ADLW7g/CnPhC+NqlMf7kku7v0q2RhfEtjwA6BBj7gOCIT5TrSqrrVgvJcaZbhONIgQ+XSD9cANRsIWi6w0QQPh6O8rHwrbKAcY7sgKVWjVdZKeBq8QBYvjdiv+biXI1UoWfNTrwP3ySnYsXPX98GOrTswcaYBqiht1QqgtLlHWiM+Oh598SKH6ArnkGi/cxRmjViWQFXhlQIzwJAshytcTer2pWi8VhW5L6sqwXEsWY9EsSX5t8Agz8XZW57IhAFwbu7Pd/wtyDq56DDtrsi3BoE0V0pQgsM6/OZrCD+4Byglmb1GA0f/47dBoQGUFUhQVt4zaS635jBbFC2iz4z+DQdmq4X4yVNZKACozQ3RW1UqbZaRNsOYJsoSRfA3lTjmScrAsDiPFw2yIh/6gix6KjZZJOu6ICUtxi/RYF4J3dh5IBlzzOuimmsg3m4ARPA/vA9UKlCnPajtbal/CCOrfDPW7a+EuXdhC/qLossvOoe8TcsXOi9JsdhCINlglGl7Do6w/3sRcHwKevQM5qyN+PgEPBjIz50OzJlIoSbrFicp82nWrXnXOLgeWFueLBHOfvr10XNZ48WY11y11K18kV3SUOwcZnh23omPk/eqYEUS2W7U0HgcwPvkaVYzYm1uqlJUsOO+nA5zXlO4IJDngokQ7tWFq5dzHoZ3N2TXHufoEtMe33GgYgCuI10EL+s+dUU+8AuxgAZG/6vvSfc1SKHUuU5ll4ENaLOVTcpzxUmLHT1ZVKyLaq4O9fkTsOfCOxRtdhoGMPdugDwPqlaFvn1TxqnKLSAldMpTrdb5F4uY72sHeeHx4BcZ/o+8Cb57E9RoQNWqMv62NoWG0WxA7+1C378L5+Y+6MN3JRJdqYxmSK8yXiY4HqpaLeGqLKIInOv0d/JerlBxXmNyAdfNRQK5Dqhagd7ZlqhvHMs4Ufri7PEMz04fnMHtsQ1eGvDpGaq/9zlgxz0AaZ2taNRXKxDL6TCXQfwnhdphBN0Xjh55rrRhPDxC5aAv1ZhFpLLCELXnIaL9DavsYFMH+WjpiIZrQYvfgk3+fIGevnUD+sb+Nf6YYQ6OhOSvSCgytm88OU7GHySCqtVKOPvVxFp/+eqgjRYojqFOugAReDiE+uSBpL6jCJxkoRKt0ouyITPCWNmwkY6ns2yy8w5UvpvgGtcCuU65RadDH6qnUfnyRPT8TQzzzn3h0acBFwUeDoHBUD5/3JHsXEGZpJEMYdFjZHcLu9+zc4gUtj9aF/tdC3NQxlKtpjRyO2vLYTwv9ZES8YIiYY5OsPOvHoM6PfBGQ/oxWP8pkdM03V4miVnC/Fsuh1np8oy3IridEGoYAkoLwdxymPHxlyL6njc00yo8NOs4e8tD580GzJt3QPdug6oVkOdC37whRRuVinDRbLewxBGc6doXLFLk/7nvQO/tAgCiLx8ievjoWn9P1YosCIbt5JwgPURq9JmtcR7raPxU4G4f7DngiitOa9Kd08hiYY5Ps7EJzH6fL4hOJ4VQqjFhYzhNRDuh5tgajjWmwBxsLTNDhZKBpLZs2vSzU2kgEYRWFjUAx0b4zL4vTb5MPOrMXHVzZc47IBxmmt96d6fQDErv/X24B7awmw02/sn3C/vuK2HZi1rncf6kxD/SWigSVhO8NMQxzNGJSPM+eALUJMPBnd75hlEXSWPOiKVymJVtDFAGeOjDfd7B2QdbwI9/CN5sQu3uCFUjCIVIbp1Yvbkx/YGOTrH9gyG2fuc5EBngtA3SChyEMCenGa85jlPu2cxFNzb6eqlBm3MUyXi5403LqUt2s/aekRYZLY7CLHIfriurL8WEQsk1XgyqePBvNmyK2wM8VxaOakWoGFqdj9jPYrwvc7iJENviqBFMk4nLp70THu4yOw4vA4kmbMlgzaAwAochzFkH3O2Jw5DqfwuXkxr1kcBBupYU+FxHlGFG3phuXfE3FejpQXqOcaeTZQ7XuB5Kmr/c64kOveeCB0Nwu5sdb0qFnstAlQqICMNvviY0DNeFaXfE1nquDS5OoGgWiKVymI3vl/fwfV8KKAwQbnhAFCN8bQ/kSUtsKDFERDTaMWlKUBhBH57BdLppEWFCXDe+P9ppa1rjll/88nSPlyE+P4awpkDulAaQCLTRSnl1iaHmMEjvVaJYUHa3o1XCuujvGvBcaD8GDQPp1tmoSxTPRpqZOaNhTIjOXRuXyXmNv1fQPF5voKYEc+n1AMlcZdcRB1kRaKOZ0SRy2TXT7Ukx6mCYBRoKRvT88ILi0+nuQ1wh0fUlsql+htrZWsuELhBESSdCfHIGMxggPmuXW/ugFZgZ1d/7HHzWhjk8ghn6iE9OpctpHF+vFmoKLI3DLC2wS+SEGQaiSNpW+zFwdAJ/xwNs620OI5ih8BMTBY2pjuP7cI/7wFBkfs45KUXKyo03LLnM+Z5zCkpFDDbTG24+PJaov+NmEea8MU2i6evo2OUY4csvjTl4+WBG7CpR0LlzE4himKEvHFJgLq1iL3SMZxzz52hNZWPNkZ4Kb/1XA1BvIPUvcQz4WdMt0vLcOAjAg4FIBSYBpzK4nQVmf8lxEFVJ1t58mn1v26be1+NlIZCMu9SvKNfesR+Iz1SrQd2+mXZJVpVK6keZTqf4GrAc1iukBSnKokNKosjN33ucfcAOBjY8EyVDbW+h894WzI1tUKOG4Z/4EHpvV9IKlUqq2yrOoJNRKaaV9Rkn/5dQqT8NjJO1/54GSQSeozBd1EciHOuOUFfDyKZqgsFbL07nQQSEESrPe0BspOiv15M5m7MNacFpWfrLZaSoma0NGtMzLROruKllU+7c0Rq67afticlxwAmH1Eb+OAhggjDdAJWZMeCLCsunuAdUqUD7DMQGenMD/OHbAAD/ZnNdk3IVzNFmj2yuS57H5Dgg18GTP38f7R+5hdM//S5ISbaZ3rgHvbsjvTIsn7mM+7AcDjPRXBpQCLcL6N7xZKEIQ5CjbfeYrFU1DwYv+KZL4GiwhlTXhxFqnxyBO11r4EJ7DkYKhsZTutMMyPG/M/H8NTUnQM1gu/XmBrr/o6/ZHvYqu6b8ZmBd4X9tTEwjr6IzMyuYwY0a2HNA/SEQhGlKkK1qhei1D4qP6OXG+Hjns3SDPYYRBY2rwMo1chJBAsqtuC+zmPtloeTIPBFh8HpLOuD5PqjZAD+x3R6tA63396D3d0HffD87pwJtv755Ix1vfBFdcppOk1EEEIRm0qij85ZsBKqfHggdco2LUWKXu3FwGMw3MGX9r40vI7R+7VP096W7H9erYodNLBvIJLtXQjZlSRzm8k+THAeqVkVUIwQbMug4DKWjTKuVtVpWJLzYaVUyGjVon8H9PszpGcyXj2D6/YyzDGTpjSK4j+kFXuF85xh9rh6FInk0BeJ2F61f/Vh+yVfD5ievyd3LNS5GblysZeWuDnYdUCRjj8LIZok0OIoyW6FnyAyNI6UYXZL2tEWv50/2eqlS8jyJ3Cg6zxldz6eFADOjcuSDmnWRQN3aSIufAIBqNcBzJSrHnOqD5yU3Zx2X3OmWk4Y3jLhKknKPY7g9G6iykmFrvAArqnzEb9yF2txA966D4Gv34QytLXp+CHY0yHXBzKn6Vim694V/YxkoO70FQO3vIfz6WxhuK5x8Uyal6fYA3wesfI6qVMQQMYvhmeKc+POHaPzwOO2/zmFUbmQvpXRkjzrh/o4PqHk6TMZVwHUjXxakNfjWPsxgmF7HSLtyACDKhPVXLXpVJNYqGdcHEbhi504UAX6A4VdEHlI1G1CbG9CbG9C3b2XSkNZBScep/Z6rHi+tdRivS8ghlbAbw7WzcybLcKV/W6ajXEJF/UtHyU4LaQXWCnxyKmvIk+cZpTCMYDodxI+eIH5+CPr0odAzBsORwuhZ77kpoPj9wu/WAPeH4DCEdybXFb17T7KKwNqmX4RVm0cJlMazn9yUxm8hYDRh/1+fpM1SuF6RYIXjIL69ByBXxF7gWFkOhxkofSCY4xO4h13sfN+HeyydalIjM/TFQMUmFcie1shTpYJorwmuykKqPFciOQVoPE9EEqnORV85jstPp7zgGsjw1MdXzQZOfmQLqlZNlUQk/Z0X0leyuQGyLkBFYVWN9aoa26LBDNX1QX4IbjWkKURsoJoNkVfq9c87TCPFvDklgyuOpaSI61JMykhdd6zmdEzJdcTBXyWokuzsOMqmZGxu4PHP1kGbG1DbW6Llf+fmiASq3t+DvnUD3Z9/P62LyZo7zajrj5JkXomgGjW4XQY2m0AUwTmQQi73wWG6KVjjEqyoHR/uEvisjb3fPEb1URvRVlXGtOOA/Aim0wWUgj7tCm2uhADQ0mi0kOOUymM2gyH0wTEqAOLqbupkcRhJu0XPA/vdTM5nStkgatQx3PPQPNaA6wj3a/z7ihzw+WKMXAcoYMzhJ5prhHG47aA2pawcDwaoHlllDEVgzvWNzznh8VkbemMDcVI5O8t9XVU92nNj44LrXNXrnxZPngM3dkHdPrDRhHM0gOn2QI4jlK0wAkURYEYlxjgIsvt41U33FRrwkOuNNJLIDjjFM7N2gIMAc0nukgJ4TrYnv5EpcTwLPae8u2cOj/HaP/QkCjscgoMAynDaN4DjWDqwGYPmrw0QmxgMCM+TC5rLSeYkWWOK+E5m2YBGAE7b4NhAJU6yk2u5vLZFrx5IpIX18RmgNRyt02YpNJQCWFWvAyXy3Bc/wmwX9LnoL2qNuFWFvj3ICvvYiJNsG2DMrK8Zx1ABS3RqMEwXVFJj+phlRzHzEZDU6M04HK7Bi9Ph9PfR+D7qv/NFyv3O0tW5+2ej6qbfL578X1IF7kvB+L1ZpWsrERzJRhpaA1EMOAowxqa9IyniHfpSuJRwi8f1ea86Jtm8MFigJnXZmoWnmmic28BBERHJRYAqWac1QdnBB7W1idNv7YOadai9HejtLdnA2YwAOY5wmmtVYHtTaGuem9n6AvidptdLx3CRGu7MDNaQuWWyGhU+68ylIcwaCwg22PjcctltYZ/qiL448jVlcQxUxjLKBa79i+8w24vlsneUbEBEeP5jLexudUeqcTnMaS+b2GpCTxc94ChG9WAADIZpkQ6pXHQ3cVgukumZ6qBj92783JP3i6BoXNHpdnox2J8QEbvKIbQGNpqSetR6chdEe+/0rZvnFTSmxXjbzRVEImt4Dsse0SnY2aNKBTTwgYonzrEjzgm5uY5nySY/N16mciyYMyrYxJOxkpjj1zjNJpgZHJvsGpJoc4mNOOZSO2HvzdwaGZXNy/ZcBC0CohjRzU3AdQFmmNMzcZSrFaBSATkOgntb8jd5TmfBNqzQDYJh6IBlnc0rzwRB6Q1h1lhQMGPnv/0EMAzT7Ukznv4QZjBE3O0hfvgYYEbc6SB+9FT+pgTK6XJQMkiJSHaZh3BccH+A3l3G2Q/3seU+h242hBdjGMpz0ygPx7F8flIK9EVgg7jqQCuJSJHjgJlBQBpp5hjFLvCTvqts/vIL0qxRQ0s74SnAcQx+epDJ7qVvnKcVRA8fJX801bGS70t0sc1wuPzO4yWYqQX7IqPoa/JccKMG+AG404U+qoET6oTWojFu4tLtFgC5NmMmzjnSGnzNuZ5lbWwzluRalhkrNqbNk2e48S8rMAeH0GdtsNYwzw8ASPaD291UotQ5OgHns21loMDv5TiGM2ShmkQR0JdsLwfhahaIloUVo9HxcAjVqEkgIoqAzSaUbc8NWP8pCaApXYrNWvwIs90Nz4Nfm+g/vvH/lWpL7G5DNRtSUNHIFb8wX60IZwKoUcfBj9ZFO7BWhdresnI/Isqd7KDJaqGONC2Z1ok+F30do2MUhXw3wRcM1vpjG2WfAqrZxOBPvC9a2RMiaIW3eLap9NKzHIuAJb5Gcr35SSMOhqCzLnByJlSMzYbQL+zmipmFcpVE7JNxWlJ2wvT7mR55DuNazS8EWTk593x0vHDYc2VTYDbtRRir21hWqO0tdN7fxvBPfR29P/k+sLcNtbEhKi1vvwHyXKhaFXp3B/jau5IRcVxRDkoybrOuKyWBFMHtmqxAsSEd3aiMIsNVxhLb8nMggmo2gLu3AADRV9/A4c/cQvRjXwG9fg9UrUBvb0Lf3IeqVqxvUPzYXnyHuUi6wGWHsQ65CgGKRU6JelLIw4MBuNcfkVmatj22aTXg9hhQCrixa3la8ntCMQApMRRWC7WQiuuLJs9LmlRxzckKOK4J0+2i/m8+nxy9I8rSdkSF9ZYnrUcljRZskVkalOjQqnffgHP3NhJJwdSBzo+DnJMwU12E1uCqB2xvSvobEF1az80izPkxklfGKAMjBb1jr08zVm3UZkSaqayOhfPU/86Nv1I6JSYo2646Dh7+GQYrIGgpRHstGYf7OxLQqVagWsJr1yed1HYl7YTn0sFxSpDjoHvbAcJAOPT72/J6rVp8MGTiCaxt+yLCnJxKg5Ibu3AfHsE4gPJj9N7dAVxPxra1v0mtQtFzfPEd5jzmYLQpJlQensliatuLsm01Opr+ny7yQsyotA245oF6UlzIQSAcRZN9J0eiz5yk1eTFKYywjSaMRBbmwcF9wXNSgZneeSCF+O3b8qOVUPr/t/enQdKl2XkY9pz33pt7Zu3f/vU23T0zPTOYwWAwBECAhAAKGECyAYdhBWDZhGVEwGGT4UV22KD9A7RkRUiWLUVItsWAgwhBCokAghIDMA2THAEgQZEEMANgZtA903t//fW31V6Ve97lPf5x3rtkVlZVLvdmZVbfJ6Kism5m5V3e7bznPOc5yXMmFwOpBphPgGNxFYZ/hn2PTk3ugaFGhIYskEheS2xK50lwZNcFTpogz4fu9eHXCiYB0BfeJZtNcKQLbs6VkXEYVfkbcSxQsTj1vBE5BpJJihlUzboKhGW/gRm870sGqvjwKwobv/s+7JOuyJ+6HnDaAjxfckRcDwh0pJzBAzfmxKekx5w2mBmDTQKtr4HqNbRfWQcAdL/80kJkDlW5fD3WjAUWIssaZDugUhFccIBHz8DtDgpthvXuY1Q+aknEn0g05I1iBpD+GF8Ng5l5+HcWCPmHDEl0sW3hL5sJ5Qy3c9ZrOTiG3dHo3quh98mb4Ls3QNWKTASOAyiCVauKlzkRzp2nahgpio3KBXHALtvZUXB55v95UOUSjj9ZhWrUoKplMUpU6Jl3Ys9zyH2fN4HSSO4Fzbb8vYSLzEy4gvvIcsELbmyAKiXJAxgMxHgOy9mHXFxSkXY3+97M9y/0LQVutkFEKDzYBxUcULksvwuFiLYV0beYs83yH7MZoVnmi4QXL/L+ZmFALKiEb3w+irTZAQznPGRwrkzBjPpaD0GBQI4D6kmtgGCrDm61oXv9SEUIvi/OGNbQnW6215UGNCMoQIwjIgRF6Selp+Z+stroh2W+cyWOpQMHgdhnisC+D93tYu07J9CnLVDPlfnY80UHPwgkgh/aTSliNQzmJNJUjxj6Xg0EAUgD5PngbjfSSI7OmwZ8H07XR2mvh+KzNvDBY3CnK5NbryeKHMlS2abwSOjxmfo6jLEfJXxkKRtGJGFwXL6zY0vNzAPX3S52/uAJgqNjyZg1ySDk2GDfk3Mbb1uUFT9n+13LstHJfrAgb0SWWur+WhF6oy6GrOaYP3we5jDYVLEohgjEIwZLNmfcH4h2exDEldeYxxqzUz3zS7i34fyg6vWh93VYfn7SMT9aPTDpYV5lr1t47VovJqyfuaoTo90qof5BD/rgEHx0guD4BOr9J8Z7bPqbUvBeuhWNO1oFHWPWuPtPOuBKEfq0ifo7LVCxCPXBo+E1OYPzApBzLHozlwVWPVE3CdYRvU416iDbhjrtQDVqIM+XSIrWIENtVWuNTKKZq9Urwp1lRoOdikWwDfi3N8RD9JlX4on2vN9Tgnt92KcDWK0+6OmhoXzEpWijBMfQE5zivZJTEIrC6OKX1kJIKsHzvbhrUaDPLeV7KZjBh8exYRQ+q9AzkDBQZj7H0MUmzjNn+y8VkpunBUnlpdIe5yAoWdAlkXxUBQeqUokoGKoaVn10ECbTzlOpLDKSIV5zbgp/mXs9oYJYlnAuTWnsKEKUxKwL2gVzgtraGG8QTmEAcBAMR6Qo4SFPE8n7X4QBt8iISsbzA/f72PkHRdjvPBKPmzEkKanHHQTgXg/Ok+PIa7r03lNlQVUqcJ6e4OFPrAOeB/XRM0mk7Q/iDXcWBu0ybyJmxELqVywIVC0Dgcbg03elkFytIooZhmKkmy0Et7bEQXh8ksk1rJjBbNzsGXUCfv42SvtA514ZUIT3f2Y9NipCIf/kwjfDpKjWGujdrQLGcCCSjPRwUaVCIeZXjmYyT3u+0Q3GeQUQ0pooQuki8/oiWKe9ubyNzDy+nPjIvSQ5i7PiTFGZHLMjuelIGeRrqK4bjVXd7kSRGh1quQ4MTYP1/Konvi8TtiLx6m2uiYHcqJsJXKS92HVNVbSUp9vR50gE/+Hjs+NqlrwFPUfexLRYoDfvQj3rNJH1PWlGZT/RzkEABAH00UnU56PoQMjrXxGvaahI5VeESx8cHkFtbsR0mglUmObGNfHOLv0GaVIwix737j4Kex2w66L7XAPc7ggNwzjMrKcHsZ3DnHpEc64RRET/GyJ6g4heJ6K/Q0QlInqRiP6IiN4lot8gooL5bNH8/a55/4WpT2iqt2Ux8DkIQA8eY/v1HpQvklDKp1gmLfRYJr2Ys5zHDwAG3Hsb8F+5AygFfu0lEZu3lMjYKRKpudCIDj1UwOye7XASDReMjBbCSTto8Oa784XXgiCWGQqrTSX5iQbWzRtnkgKnxVix/OtWEW9R3pUMzxOULZAXetJ0ZBgDpg2TuRCXFQOZBFoWblpryHc+3RNPH5FU+wsCSVTRHPHqIwm1aTfd4z437lmOM4x1MN1zZz2zCtDUIBpWbMhqTHH8/BfidVvABrt7wwbVayK3ZVmREowqFodyYPRpE6paiY3AZU4GYy1VdvsD6ITAUVj+O8eUuEZec+72oDs94KOnQBCg+u1nUln1tClU1sEAwcGhfDYj/fuZLU8iugvgfwngS8z8WQAWgJ8F8O8B+A+Z+WUAxwB+wfzLLwA4Nsf/Q/O5Ca7w7ODOJLuZGVQuwz7sQVuy4Fl9xNnnic/NlYSoA2iHUHx4BPudJ9D9AdQHT6BdL/J4seE/su9FCh0zcZhHr3UJktWs116Nr2ceGL1bACIhZgqLRAi/v+AMUzVmQbhJWxEPzSxYaOguoz7Yvm2h+8J6ZICF2rMRVSiMFIWycnNwWclS4gkzIUHVqCMwCYBJtRsqSRIiWWo4UpEyzSHMHTiruT6rdnvMGcza+BsyhDLn/o7ZDGRxzoznCh4M0LmtcPwXboPv3YZqNEB3b0Ftrsfa/uUy1PoaVKMuRrXp/6pURKSYtGxgBmwb7AdgxbIRGB2nKjHXXyenRY4LQeUSVKMWScexScKnchlWSEUiJVS8jHKO5h3VNoAyEdkAKgCeAvgRAH/XvP9rAH7avP4p8zfM+z9Kk6RwjwuNZDLBEXi9DoqMK4319wKojY2Yl5sGNtfl60uxzBWHBTwSoeNrSwEYp4E7Y9ZzlNyi1Lk7Si4n3BRzLhBJT1hq+thXiXGexxVegEonjNKB8UQpipLuAJgqYSEP3bTbHAaz7sl5SCkpWuI4YogoBfjxnKWPT8b3zchwTul5n6d+M8tcGW2uF6Cok5SuWwSSeRYTfX6ODUeG4CBA40GAjT96Cnq8C91sQn/4CNxsQzdbURK5bjYRHB4jODiKqAy611sMrWFGcK8PbDRgDSiKzLR/8BNDhvO8kV4AKz3XfRyhT5sgx4F+/hbIshC8ck/eCALxPBuBA3a95fMwM/NjAP83AA8hhvIpgD8BcMLMYVz+EYC75vVdAB+Z//XN57dGv5eIfpGIvk5EX/cwWNxOONRN7Rv9viBA7cP0JXjIFyUO7B+D+32ESX6ju+jUuEfhpKCspfAo6LfeA5gRfP/nYqN5Bs+36IqO0GTu3Djzue4La9F55uIzsx4qlEK2vZhs+yyR2KiksgBdMQrNQCgZpCThKUqejSuFsqFRgHmuBESyLIlcKAUaeOB6BXjpOelrQRAVHYrOmzQMkxutSZ/3JZ9T62vy1cmNqBrJt5iw75NTiLyRZDzomWKRhhtr6NEKo5moLmX7zFS9htOXLATbDXiffQHqhfuwbt0AVcpStKQiUqWqVoUql6Cev4uwgE9c1GE5E8J4MAANXNjtePwcv2ojSDqTVnieyjEbyLYB24bqumBmqNffk7k9qQoDIFQWywLzUDI2IF7jFwHcAVAF8JV5L4iZf4WZv8TMX3IgXKxFFdqg0zbgB3DaYsCqh7vQx8dS9S+lijFsW/BLBLKtYY3UcaoOaVAokooYS+C1jjjOzDG3eAaQpWIOs5lUqdk58zlrkCgGM6qlPdUJlciURbQZvRTPMxUswUYqDZSedaCOW0NeZNFtNdMcUbxpmpdqoDVg2/DvbwPPDiSJ11agzXXoZstwlUVqjhRJHzXXRYl+lBa4fbbvD0UQpplLFhk9WXjhnDESfxc9lyU1zMKopGr24Hz7Q2B3H9xsg1ttqUrrehIFCSVLdw/k/7xYUSNLicd5wJqHojSsGdpC3G5ptcmStm2O8WDfh16vA5qhtjfBni/0i7UG1Av3I5qdeuVF+YcM5pZ5ZsW/AuADZt5nZg/Afw3gLwJYNxQNALgH4LF5/RjAfQAw768BOLz0LMmdQsaVybjZQvvzdwAiqI2NKGFHlUtQa/X4GuYAdfsongZgrWMxbuBsVb80wTx94k/G6NwrgeaguiQNb1WpiOdo/+DM54p/+n4qWsykCMlyxyG/fGURqqcsKvS+AAy2y+DiBZuwFMP/VK2Auz3YT4/lgFJgIui9A5GTU6aqX9L4zNAIlU39eI/htJ7E5KZ9pfv4dQYzSkcMHJ2KoVAqSbKcomhNSercD/HEExvIZQSZ4hQq0fVqj8aM22uy0c8MS9q+s4KDAN5OBezY6H1iG6paFqqd74OrJeOEcxJRtfTn23m+8SGA7yOiiuEi/yiAbwP4fQA/Yz7z8wB+y7z+bfM3zPu/x5PqOoUqCFlIMyXOwb6P0kEfTsuTwiWdbhTCi3jGcxoW/t0tHL9ciCSoYDLoh8r1hkhzg7DIwTPBuezeOfJiE14na4aq1wBlibFQKMSGcQLByUk6xuA4+sUqG5kJlY+Vp5YYFE4GImJv7seqVaXMbQgVGhLmfucpxuH5oIIjWqAFBzRwoR4+FS33dkfUGMKEJdYJvXCdDb/OsuKS1kkQTe9J1IZS4iwwZL+o+em6GBFEaL0ABC/eks3bWh1UqwJ3bkLtbEnSX7UiP8UirNs34yRpkwC7tOOeJKG28sys+46Nrd964+x8u6Qc7KXCNaobQIUCnKMe1OEJSg9PgO1NmYN7fdAHj+N7zFDhZx4O8x9Bkvf+FMCfm+/6FQD/BwD/JhG9C+Eo/23zL38bwJY5/m8C+KWpz+n7Mkiy2FkSgeo1WEcduGsO1M4WeOCKQLbnx4N1tONNeS3EgOUxvK0qqFQEOTasW8K9VaUiVKk4IiOnoEql2HgOOd3TDICEjvRCMIEh2bkVyyBN+7+A8UJ0exE/lT0/4ubN8n2XgV03Viq5BpNPMpJxXbyIqtUHen1TDt1sdD0/MlSHDNZ5lG4A2ZxpBp20ANeDrlVAjTqoWBji1rPrxsZyeL4MokiizpFOgjTZtvT1sF9kWBk00+8/D6u80Q0RBLj7+y7Ut96B3j8EDo9lo/b+QwSPnkB3u9DNNvRpE7rbjfW5dVz1dWZKRpi47cxOqbsQitD8wk2Ujg01slaNPOQRvz7HZMiq6NAVQNWqoA+fgKtleDfq6Hx6R+YoItDmepSHhkhuNv15di4XAjP/MoBfHjn8PoAvj/lsH8D/YJ7zRQMlo52lvn8D1mELYMC7swHr2Z4YzK6bqGGvAJ79/Oq0i/JhBc5eC3pnHWi2wOWiyP5ANgWsWaqQkfB0ybJAvvGcRRWbEIfVLwPzXNecBW7+U2HjWJ98GcFb7w6/OcF9cRAAN7ehfB/sulAFR4qZOAWwN6zXaW1sIDg+nut6yXjw4gtY8Qnouhj+CQRrZdieD2q2RMHCseOFdrT90kAiidTfKAMbZRQe7ENVy6J2Y85HisB6zlyMS8YE+35coGSc8sm0/ZUo5mFnzNWnQkGSNBfBqZ1z/l4aKIX+toPiyy+g91wd1T9/Cqw3gMMTwPdBFCfMwdB1QqnSobEwLR0rWQRHGedN2utxEKC7o1D/SLTMoTmSXKWCc2Z+z3EOlnDdnwf6tAkOAlhOAYVOD47nIXA9AB748TMAkEqr+8ezzXkTYKV0sch2sgsjMUuGfX+AytcfwP7OQ+jBALpjduOuG3OBk5hysqCBC+UxYFtQe8dg1wP1pPpY0qtDpWKUpBYa0TA856kUDZQFVa/D2t6S0tilsHT11RpLwZvviRh9cfY9G3VF2ktVKvKMXHesRrdutea5VDlXsRhrO666sRziutyHgX3QEsPLcHA5CCL+blIxI60S5xxocKUEWAqFx8cofHQI7vViOTvDJx3yMM+Iy+Y99n3Yd25B1WrDbxDBWmvEf17GZw4N5eiLs+e3T6IumvIJh3+vIMi28ez7AXYstO/Y4EYVzc/fABUL4mSplKHqNSnTrlnyRUa0aaM+NU2UNCrkxXHVzJTBQQC7ByjXjNWt9fHRwxwXY4X79zhQsSgOzFYLwdFxFGEe0ly2LASHR5ldw0oZzOy5sRcibVqGskCPduG9dEt25LUq7OfuQZWKsO/eES5kKM02zyLb6aJ4MAD8ALy5JpOY54FqNVClHBc92N6M/ydc7MMEoimSNlS1AqqUwbd2hBBvJeTlrnJA6UA0FStjwnqT0kdM6EUPBsOlhxP3Ze3sJOS85mi3weDaUBcimOehajUxpDJOqs0czOCCE40TIpIQXYgUk+/ItgGtQa0OeOCCSwV4dzfFyxcaIppjWsOcmKTv6aNjSfwa+keOtd0n+Z6kU2ARKjBJh8AicE0SXNn3sfFtQv92BV6VwI6Fta8/kb5oNmwc6Kj/6VbbUJU4Ia2oZ6MIDak7cSbUjGIzQHG/C5CC3qjFc303fanXawe6Zo4dIF6rKhVQrQpVLIJsW6QT19ck34II1rZRKs4osXWlDOYQ5BRSDwORIxp/nTtFUK0K794WBi/uQN3YBtcqoGoVquBEHOOZuMQAeODig5+uoPuKGMRhAoY+OoY+OQUcR3ZMp20JKXu+eMyMtqx8yYSTPhG4P4A+OgE93ZNjKmE0ZDCgpsnI51oF9CdvjnljggmcWaS8IPxiFSoTJO6JvuczIDudjRUn+ZzXwEOVRMyzTUHG8CrheqBksZJANDqTOQFDUobzhu2UAmxbNqRKQXU98JNdwBPhfHJsUKFwtsjNrMVEzoPph7rXG0trGDo24bwRRvOiuS4LLEA95NxzLvq8KUP3B9h8owflM5wOI6g4IidnEp91swV4bkwLCmUUE8l+MS1jwv54nvpA2lXVSKH8rA+8+xCqVIS1f4rg4HBpdaOXDqs8h1+AkLpFtSqYWRxlSkmSn9Yg2xGaa9J+SHmMr+yMMTZhbA6oooSu1v6bt8H9AZynxyg8OQVXSiDXA3c6UdhfLkDNZLQTEUqHhPKjNvB0H7rdAfsBVKMuC1TFZPWzluIYYRKgCe9G4YeQT33ZYsZaDO9eXxZOz8s0uzjyVE4A79ba+Ml2wk4eVVFjhu70hhcAIqj2AMHRcZwoOldVqMTifo0SKQAMS06tMLhSAkKvWijpBmMYhAazbYshG6nSJPrfNIZhqMddK4OIQFpDvfeRGM/JpL85iqNMcy0irTiGuzwtRhKEr11UJYkV1lFX1Qr2v1iB3fKw/t4AzuMjWR+qVZGT05L0Gnlkw2qophoagJnXgVH1FLKsdL3MrNG+L+sg1Wvov7STeI9XPxKWY2qoYlHUYEz7RwWiSOb5sNw9vf9IPh+Wf0/7OlL/xgWALJVaqDNCwQFVSqCNNejnb4J7fRx/zw50tQgYzeRQKzniJM7goWLXReUpg3qxkcKdDvTJqXj6Wm35ftczJR+7keZvlHwYegIv01YOS0V6PnR/IN7qSL84o8VCTd6lnMPO+Hac8No4ISNH1khyEjOCjUpcBnfeTUKkcrC6i+wZJJUiroFEk26UAVsMYfZ84fyHY9X85sEgoXgyEqmZYiyzJ/kG1OwAlTL8tTKgCFQuD/Pqxnk7MpjIoyI+8yIqzHNOf0jz2hPPhtL2Ul5zqEYd3TsM++2PoB0lRUu6Ugqb+zIvUqEQe2WTHPhZ57CwGNDoJvA8fv2sfYUUSoe+GPmnTRSfNsUBUqnEjo9r4qzIMRlCJwRZCnzSBK3VJT/E96VyZ1gx2VBZoz6a8nq9kgYz+376ng/fBwZixA62y2KsOgRr/zSuopWoIDbPoG1+guDeXUsoXgTQpv55KIOlBwPZNUU8sxlD5kmPAjBdwuAsyFIrewTJZCrtemcqB1ofPAOSMkTzLPZDIfXrYTSrUmk5+OwpQZccsJMogx4l+XGUDDokKTf3CTVQLICbLThPj4FiUeYRJMZZIukvK6OQikUEp82zb8x6n4ly4qIjnZE6TLRhy0ibegyunWFOBKsnfGSylPA5a9UhRaUoT0adQ6mYBEk1jJHNtW63xytXzNH/vIYFfOI+ONBovrYJa3PjbEnzeXEN5ryPC8Tx5wnNbjAwOviiYEZRES4NDufBjHIVVtNgnqfE8bnfqQHHQeeTOyicDMDdHjbeaIKLBSlgMiTDc07RjQmgBwPUHzCsnh8lu5yprBWqcqRRnc9w10JaByWT/jIA93oTeyt5TqmvkLOsSiW5r5FNlPfKHVAlUU1w1meZ4O5lWjxnwYg2ZED8bFZ4EQlKFoINCUmrWtXQg1SCvpSIQsxbsdNUUdP7wq3koxNgMAD3B/H8FBYlcuQ65jIKL7he1WikQ8cY+n/zvLLkMBtkVuH0vHNdBxCBAgCkoLzQkGXok1PoVlsS/7SWEHYQiKGRXMOmxUVrXsprMVkWKADo0S44CLD2zz9EcHyaej85k88w7vV1wHW4Hx0g2D+UiLvrItjdk41aEESSg2CGPm0OOwlT7purufJn4R0NAnC3i6c/aMM6bINsG9ZRG1AEtbUpOsnMIFtCn2fkmyYFKdg9hrsec2yGwrdpLxxhiNX3xEAPi79khGm0VLnsjPf4TJiYFJUVD3eXycWQCM5uE8GTXfm+OTcJ4YYjyjBfdVzFJJrxOZ2jPqzjDphlEzq0IQCGN6DzhnWVApQC2TZ0qy0RoV4ftLEm74dJVgaRx3tWXLBJCw6Pzj7bOedIq1GTzWFYsXAcRzW1KqTZJCCPRVbe8kXDUvCrDP3cDVDAwPameNtsG6oouv5ULouqgG1D1SRp3Wo0pD1tOy4CMm0RrIv+TgFk2yjt9iSyy1pUXozTJ02coZaEa8Qq94vrjETkK6ykGjkXARE5yDiCvpoGM5C6l5Rd1xQbAKg3MIalBhdsnH7/fdB6QxrE96SR+mfLME8CcmwERULxUMJLY7mOQPoNPkmC4IJhHTTHe3wmuU5SkYdgiKsXghlcLUFtrsv3zWHkku0YNRN1fUK6V7EoZHxOa+8YODiWJLxktcwkUhoDUb9NFtwIAvCB0QDluOgHewkK2aznv8jYZj37Bn4UkeJGH6pcihenMIkmaWClEf0CTJGma+zhywB8fIrtPyFYhy3QG++Bn+6BmaEadaDgQHdFMUN3u8Lz7HahBwME7Y60aUhrnHDjGDqKznw2gwJIzAx3UyKDZFnCz2eGWqunazQn14RZ5PWWGUkFr+u4AUg4yIb6ZsbR35XUaSHbTj20xpphVYpgC0DBkd2n64Ee7aIOgE9CbswlSTGXIQjgVQBy/SEO80KwbAPnPE7aJNepg1hjtNMVub9CYSgREG8/QO+HXkPxH58OH58Wiswik12N+ivBOJ7XsvWRKRDc2gAF68DbD0yhIfFKRaHcJJc9XOhnvF/VaACDAWhzHarVhm53ZAN3YwtodwAYpQzNZyv9zVJt7oLrpEIBut2e6T6GvscpQFXLUTgf5RIsRbE8n1mYZL4aY1xM+yxJAdBijLsewFJoRjjf1yCKkyH0YIDGgz74tCXqGEQy/2ktiaenLVCtBNIM3WoJz9M2VfKUJc93CifCTGvUjOOLbFscHkb9he/eAA6PgM11oNWO8gRSxwrPfWegg+u18SSC9amXRYSBGdbjA5Gl9YNIWk4fn2Dw/Z9C4R9/U/6lUIDu9TCrotk4rKSHOSsDU79yH6wAf7tupNh60M/dBnX64MFgtspIo0hmyocc3nG7olSz0RdII1DWxJJ/vLk2173rsEiDDqB7PVgb68Pv9weovP4kDr3N+EzZ82OD+5rwlwEMRR1CD/2QLGCGXPcsoIs21GHTeHR1pGoTYTRxdp4F0hQd4k4P2N6Mn5uSKAQVChHPOYpMZNl30ljsFQGOidY4jhhhmxtSNa5SAQBYWxuRrNiQt2+WezMbCO5nUzFuLiy5sWFtb+H41RKoUYPa2oB+5T66P/AyuN0BN6pSnv2F29Av34O1sy39slQ01V6LsQdy0noCF0Y4zul7Myf9Mbo3pf/BssCOkYTs9NJXx7quWPL+OzVIQZcKYizvnkgU4t4G9FoV/o2GaJC7icRuGMpNyrbPaq3+4QDPSFZGF2xUnhHs3RPhQHZ6gK3E4xzKyc0JcmzoAoFtw4G0LKnGZ5LJyJbwZJScl5zYZjqhaBZSsQir0VguVYSEiP7w8cu7JTmFOGnjvHtijeDgMFG5bPas7Whjs2wL+7wIpaLCaIfvx89pxbjaVnsgeQaWOqMVGyf/pdTvD47EuKyUQN2+nLdWBXX7UPV6VJaYElrQ0TWl3Icu1NFObnouu/dQzaNRBxEhODwGnzYjbXgOgtiQDset6T8zUZXM/+rR6E8W/Y4o4mFHv1e4EAa7Hja/3RVVGKVgPTlE+VFb2uXgGNBiWNDAA9cqQi/s9WJt8OScOHEhrOxkEUfRuk8RlUS98xEASC2ENA3mZVgDs8R18pgDsE47UKddqWja7qDw+ESqM9ccqQTJGqXHzZiukQF9cqUMZlUsZualIceG82AXN7/Wlcp4jh1p+B599ybU+tpwydgZlTJ0f4Ct1wcymZlGplIp8sqqWvWCi5z+fKpWg1prCB+ROa7clZW3y3A2J8J5n5vAoGDfi89jkrn8p89GPsSpFI4IjQNVSrdYzpWDdaxTnQEXcdHggg2umsI/lhUbqOFGJ8WNduhBDjYbgO+L8eV60AeHgCXqElQuS2KqkZSLyramjUnb7pJ75yAA9/pAwrBn14PeO4h0q/XR8VlZzxHpyqkQOgnGvpdyfww92snN4arCc8EFFZWMRrGAzovCXyYSYxO+D+oOZEOHxAZhVBlnwjGhztP6nqHi7YUgiiwTa3Mj6o8SiUhxnrpO0cIRkO2sXITwIpAieLfX4d7fgP/FV+F/8VW4d9dBtSr8WkxJan16M5pT4k19CrKyBte3x0yLIIButmCf9GRgaplUrP1TbP23j8HdXvzZOQda8dGJeIXCMHjBiRf3ggOQkcVSdDbsOW2jex7YFf1CSv5vVp7SKZIn+s+tn/UEAtM/34sGRAr3GfJQqVi8Xrt25mFt0xW/N3XSkaqczFA7W1HiX0iHoGJRoi3jFAKmHFfc6wG2DXerJJ473wcsJfKUxlgBEMtRwpQrDo32WRezc/5PlcvjPz+Ft5YUyTy4dyCevbVGPH8Y+hMPBnHFuIQO+lyaz+e+l67mc2QgT/JMln0sWBZ6OwXQcRN8fAoMXFg9De71oTtd8SgPXKDViWTlQtWYmSKlzFE1tbN5Dylr3gYBrL7Mu7zRABk6UFytM6UiPdcVoUKPqRac+obmKkAK3dtFqH6AwkeHcL75HuyOB253UPmoY6QUXThtyVdh34tsuFQoeAYrFZOKqnNlAVJg34c6bUs1mbAAwbM9Ca0md9dzLBKqXIK/XYPjB1GhFDi2hHcVSaKhSbRJXlt03inPqQcDkNF7HkKWC8KESU1WPxjvmZqkjZlBtgUelQobTTSZM7krvB7W6tqUkB5CUvrMtmOjYt5ndhWwLKDdFam33f24MmaIwPQ3UgCCs/1kGhSLYiBbxhivlGUOMSFvZbzLccKhAne6UJWKlCuelXZwzthIJVRtWRHlggGplOj7oGIR7HogC8OyinNSJ0gR2DdUlVAualEc1cv695L3f93uoPagI86dIAD3eqi8uQsul4DNdfDTPSlgojX08YkkVvYHYD8hXTrNPSrr/Hk5g+e0/m5wdp0Nq8imFWq/bvS6EInN4UpHUZJgjdqDDlSzBy4Vwa4L1e6De32oR/sIe6DTDCXmYvpQnPg9fz9dKQ/zEL8yZahGTcLTzBJKBYTC8InnQfW6hCqjC5ldvoQcG86TY/DRcaTj6t9YkwkNiBbXyEBPViybKbGG40U7UfksU0y4kBY+PBCazSgmvL7uT34B1sYGAIj3V1ljxehT8Uiwlgl71Xfqo0j0qTMJcisGLhdkoxkq2ehhgzguKJJCAYReH9zuoPyNh8CNLZBj9NnNHML9AfR6PTpPpMM8r3zamHaxGo2zKjBz9FN2XahKBcHJiURXyqXZPZMXnUePhNczyk25jrC2t/D+z9TBz99G+1/6FGhjHe4L2/LmcRN07xb8u5vwntsBANCtHeH2204UrlflcpwnMyEWwvtWCs3nJacnqBXBpvhUKOWaBs1Ovuhj0NeuyXrFmtHfKUPXS+jfXwMcB7s/tC3R+YLJZyIlET1SQ/TJNAvdrZTBnCWoUQe2NxHc2DCay0rCkyUbuz9+HypUYIgSD2fkMHd6gC8hMmgNDjSstqkQpjmqFMa9vvHmmIZOJlxMe14e+Y4lARcd6E8+f/aNCe+v/kcfQrda8l0DybQfMhyMd3luObgwsSkZZbgOExHR0MSSdmGARaN7vwa+KwYCmCN+thgJyap/w8ogM0GZ79EMPN0TOa9aRegLrgvu9UC7h4lxa5Ir3ZSlCZWFoN1J57uCQAx9Q2sJNxf65DQueJRmQt5VefhS4HtfOQoOmABqx1TBwoeH4IEL7nbRe34d9u4pnN1TmbeOT6VdfS9ywgw5Ui5DWGJ+QREApyPP3zrtiToGRubfHJfjOqxRCZSftGHtnaL0jQfgXg+3/j8fQLclyhImtOqCFalmQanUN+HLZUFdhiw7gB8Ajg018AA/kMpIaw2oR/vYfKMLBAGoWIy5grN6mEtFkf2pVeE9vyMT0P6xJGgokuRCIOZrGU6znHIGhZCo2EB6ZYFTw0kT6oMnM/97cHhsQuySAW9tbQ69T04B9vP3Yw/zrCoJ4XPLoCT7lWIkKTJtD+KiUX37COrgVGTlPN/QCCxJEI3KAse/51n8da+PkK9P9Zp4nE0uAmsGlIJuNmGFlf9CWobpr1OFw0PpL4wY+USwn793xoilGZOjk6WTk7rOmRpJYfntBW7Wwgphq6ySAQCFU5ExrDzpAcwYvLgd5amU/tmb4GYLfCr1A8YWdnLdideTKFl8XNJd2kXEggA3//4HYtQ/eipKR0hsNldMvefKcI0iNqQI5GvZ7LkeqFxG6y88J7S3Tiei61CQuF8zzw5Jpc6J1TKYM2x8bneAo1PQcRPec9vg+zcx+PyLwFod9mkPXKtA1WtQO1vRQhlhisagggNdKUA3W3A+OhQen6nGBISJQToirHNY3ne09PM0IDXsPVySQUTFohR6mPX/Ex4Htb4mbZhoi/ZPfTcAiFclBWWQWas7Li2IxnPzzXsrB0uBG9WYBuHYsfFolCqgrEi6cZ7kOyoU5LtKJRm7jg1dLw1rfgeB8EgxbIzK+9P1xbHJseeMY9EfncF7m/Q2zsPvnhRGn5p7vei5ZWrERgmeZnGdUC9+KeEH0DYA2wJ8DQxcuA07oi1SsRAle4lEajdaA2bJxbiQrpW2Aas5Uv/gwSDqG+xdwxySHJOBFD76iS14dzdB1QrU5jqOX7XB3/1JqM0NcW6Winj6Q9WYmhnmq6Qoh7haBnPWGAzAnofBZgHquA3nuI/eS5vw18vASRP6tAW9uy+fJTXbQrKxBm/NVKUzoVSqVCSMG3L6mCNDeYh/M+/CtWyUjEpJvOuz/n/IaWcGPFf0XM0zUqUSujsKfHIqC4hlRfJzs52MhxMxl2TTMTcSC2GS672K9Az3Zk0iRZAFnl1XKDqm3cMQdFjeHsDMiz0VHJCloLcakhznelBdV3IRWMdVKHf343GXNEanOS+pcw1J/XRXPpJ8f8Z+TpYFValEpeZVqTSsJpLQMk4LrIfVNhYS8ueEM2JVYSlUnzKoN4C1dwzudFF7+1gcLVrUMrjfF4rGwCQGeu7sG6FFrh2sTeXHESWWHB9fsEZQgniZyyW497dw82t9tO+XwZUS2BOnmDJDOsplmpRyNCGWy4K6QrDvg0rCefTLCnzahHqyD7aA/S9WQbUq2PfEKBuVoppi4iE/gHKlEb3PPC8hhX4/amDd68elv0PP8JzFRmYqKrAIKBVzTmfAEJ3A84cmdd3vY/ubXdBaw/CY50wUCXnr1wks5WejPxNc74WpFaSI/pYjHjcgokAAGKbipLTwc38A7vbgN0rgm1tQtSr4o6eRVqza3pLSrEb1ZqgwUYgZxvMobYZ9P53+DWN039iCtbMNKpdB9TpUowaQglWvI5S7jGSqknJVc4Tlw/mJbDvbjdpokZ4V7OMhuOCgt03gchHB7p6sG8dNabdyGbrXF899KAeY9CrPstnXwTC1LYE0Q96AGDtcq8iGzYybHB9vsGZUdhmkGVx04K056G07KJ4GoIErOWhKobxvIolaRzSNyOn4sVDJWFRoOAgQ3NsRLlid5CG7Hipf/xBbb/SlyMYItWGWyZ1PTmG1XVCphP5OIiQYBEO6y9HreY00UmfDwVljwjaj/gDqpH35B89DgpPNg8EZYX37vafY/bF7sNbX5WNOYfaFPfR2XDNEhUtGsYIe9NKhF41TkDKJeaF3NzEGkgvwHIYeBwGUF4D2j8CdLuB5Ug6bCHp7TQyJSAs1NCxn5NCHxt3IGKZC4UxbzWrAcKCBwxOw5wkXljWoUpG5aGtDNK0rsd7z3MbtiPcn8jZnhdCrP+rxX0FQT+hh1OlF/UyfnIJ7PZEtZB1xw9OqUhttMEb6W5oqBACgbt1A99Ut8OdegXrpOUlMTrNKZ46VRO2RDwQMeD6ctg+no2F1fXFSeD4QBNj6/YfSH5MSlbPUrzgHy28wL2rhJoK1ewJoRlASjw37PvTJKYpvP4ulbRIL1yweCg40yJPEn+qDhLGotcjZJUrpRhPdHLrPpEiqFtaqscGfYuWbsZjwOrlWAXd6l39wHIgijwcVCqBiMRbWN+83f+hF3Pj9ZwhOm2JUBzNm+ZtEl8i4vEYTd2oSTZMiw+pT9skA1BvE4zI5ds5rs5kpGQVQrQrVdiNJufA4SEEdnEZFYUQRJ6SAzFg0IlR/mWBszWPAULEg1LQgkGJNoZ7r8Ykca7XH0ydmNT6TG5plS0peYnCvh/IBy0bNsmSdsCyJNCTbJSVnCdn2+WMl5TWaiw7sToDO/QrcOw3Q3VtQ5fJK0sRypATWsPsBVKcPHBzB+eb7KB70UXh8DH1yKptF14XeaMjHfd/M/2ZeyWXl0gX7PvRGDf3veQkUMNT6GtwvvypFEE5OAdtC77/7PamEh1S3L1X+FKISu1QqymI1sqAO0SnmWUgsE57QidBEZsk8l18nf//nQb0BgsOjMW9OeV065nxHl1AooL+uwLsHMtGTmj05xSQMDpUVvyaLuu52AZgFcRGb0wy9etZJO1KbSYIsy4wzC6pWk79Nxb9zPVeXtC8PBoDrQbW7gG3FlIiCA1IEbdQJIiSlvFLsO+GGR9XriYPSjmFlw8m/TIONhjQPBoYuJnKXut2RBL0wtD+6EM3Sd8J8g/W1KHcjUgLKcHxFhtcKRlEiWBaUK7+pUJAE10JBvMqkRM1pxMs2T0LlIqNr1HfhVy0EDoGJ0H9+A1Stms0opbfpviZz+McFhUcnoGZb1nvPhxr4wnU3cpisGVx2onyVueVkx2C1DOYsO7hmUM9FULbQ+NAHlUs4flUyLcPdit2en/NGt3Zw8qVbYNfFYFsmNWhJKNMt8TiHk1O08I+GladAmPykT1vpFGyY6KSXX2f7ubJUOpzjekKFB1UuASNlxHkwwI1//Ax052bsHZm1ROjoJmkRxV8WgcSzWFhFqAyfm25UJJJgPMuhxBsHAVSxGI2rMHJzXoh5ouu0LJNMpYH+QDhzlgWsN+Q8QRBTQliP9yxPISt3XvGdcFEYp+DCrjtVu5JtQz93U6r9FYtSFnswGNqADBWPSqEtybJElu/CD6U7768ydzkEd3vY+rNjSRwPQ9C9XmQka6NLG81V86gsAYuXctNAoRXA7nqwO6L6EsngpYWUqFk5FgBm6IePoTtd6cdKgR4+E2cmEFULtQ5iR0UWG+PVMpizNFIUgYsFWL0AhRMXCDSsgaFQWBZo4KL09Xfn96oAqDyRUG3xQOSU2PdlMghDyGHI0yzqcyXthZ7RsNDKknhH2ULkVRrChBNXpKVqsvbZ82Mvm7k/frIbS8vMdbFG1i8qG70cz3AuzJCwuuzw10sykRpDVfdjhYyg3RFB+3Y7LsAxRyIIFRwxmosOUCnLeS0LOG3Hi3uSEhKO4Vk3iNHmeUy/U9Z4ya0p740DDWvvBNzrQW1uxPOSyYMY2mSkiWQ7jAu7X6M+mhqCALR7JIZEtytRABMViBLlwucazrMr8hz17j4qD5uovH0A672nUH/6JoLDo9jLnZLxPkRPXGE++1Iig/WRDU8ZQSAqRY0a6O6tofMFT57BajREfz+DqMhqGcwZgojQe64Otgh+1RbZnmeGv/fJF8HtTsRJnMvw3D+Es9sENMPaOxVPWLlkknc0VL0uoeNSUQz1sOFJzbQLJkURv01uZjm8o175nGc34cQVhhfZ98QYYo3g5AQAJKMfgO71ELz3QIyJUOVi1tAxKakeBMwnT7csMPc0hBXfBFhNN6IShEmzEe0iWZkzjQQi25ZJ21TsjKoH1iVXYMiwHNVBnxYX/L8ql9Pz/rEGH4vHJni2F3vifW94k5EiOAjARydRm8Q61hkuTdfEOKJCQcqWI6YdhZu0mD6WYp9fENh10Xp1HTg+Bff7kn8T0nVSP9mKz+PLiBRqHoz7TlWtgF97CWp7C80ffgXuC9s4+t4dUKEAdXMHqihyve4XXzZ9RoOcQqra7rnBHEIp9DctWAON0pMW0B+g8s4h1Fod6tEeuN2BSgrdzzjpUqkErpYA3weXi4ZzRlGFJoSV/XRS83d2LUEOAplMLwjrpooJjfqNt3rgUmHmSZx9XwzYZAVDM/nx6CRINLvBEurPhtJX1ynxZLRPrfjiYR23oiS1IU/luMl73nvt9SX8bSkE2w2wK5KT3OpE5yQrVmOIDMFZz6vHj3+1sX724Fy5DpZwn82G3drajJ+f+V5Vqcz+/aMYidwsRAJzxfs5YGgltgV4fuz5N7zNiL8ZepWTPysA1oz+hjKVOhX49g0ASF2+bojjuiLPZiWQxTg2NpF11AZ7Hsq7A9hffxtbv/uBRBI9XyIsnofim48jeU/2vVTphrnBbMCeD+UDXs0GKwWuVWRC2tqQYgRAwks7OyWDPQ/+WhHsukJgDwLoVlsW2yCAPjyK9J6jxg4nu1k9SUOJg9k2+aQDRf3zPwdXS7HAeIgJE36oXI4zp0fuKZK+SiwUM4eSw++4ToYyMPyMV8TzdCmIAKdgitQMFzyI+tlo1adZN2ymP1FvAOr7YhwHAbDRgFWrQhUc2bglJMxiMf0p5w3WsUpGEkTwnzwd8/kx3z9JIm4QQJtImu5I9VHudM5sSKNIS5ow81u4uC2tdvySIPKaKYIqOFDlkjEoJRqhikXxro0UnlkFkGMjKEDGlGaQUT8io/SU2r3kRvJKgSwLwVYdpBSctx4DzOh/5p7MFbaxA5QC16vD832KqmC5wWxAjg3LZSifQY93cfgDt/DRf2cH1Okh2NuHHgyg26H3aPYHT/UaOrfFANcnp/GCGiYkpa1iwZJRGhrgWYcjpzFMuWCPD5dcZtQrower9XjvexYZ3deg2MEQEn3LqtezLUm8IOiDI8BzxcOWTOzTQezhHeUuz1H5EaREFSPsE5aFYL0C2lyXxLkknxQj0Ykp5hBVLEp0axznP00kNpbCA6eogJIcTCQhp5gkNc4AX1gSKrAyhmQSPBgAvT50pwftelKoxPejTUfscPHS7zNZP68ggAog/axcwuDeOgBAv3hHNJlzLDXCHJLUUS6hc68CrpbBd7ah1hpSDt5USCYllK72Z7YzcxLmBrMBuy7qbx6j8tYedLcrFWUUokpJqen5eT4KzQCqXhPPtSKjkpFYqFIGOTbCYg7Ron3FGsxgDa9eGNYMTbx3EURb2hEP2Jj/51ZrsmuYAqHSwrWCmUh0r38tNgKqWgGtr0l55wSPGcpKKM6kJEtleNF80pSKUmZc2bsn4F4/Vs1IQKpRzjDuwu8fHVvThNkn+VzIw04uePosd5QUpTdPjbuHBRuwZDvjz7nMhnSygJbR2h/qb8lnmnbS3wI8s16NRHrV9+EcS+6QX3Ui2by8+t/HC6rggGwbtf/m28DeIcjX4E4Xja89kgjc7r58kDXqf/Y0zjcLcy+AVPpt3utCWBawdwh4PlS9hrV3u9h4KwC7npSKLRZjDdU5HjxXStCOKYxiChpE8j9IeDBTnJTY8yNPbBbfPysKex1QdQwf8pJrY9+H/+TZ8GfD30SAkwFXm9T4a11hhJuntCt1XRlKRXClZGhMOi7oEPb75D3OaTRTqSgKOqUidMGOOL+wLCnuEQRQa4343JFSTUIicsLQ8kUlo8/ldc6yMUjIj4WeydBbH70PREWdMsOi++IKJgGSbaP32Xuw7t+BdfMGVKUi65RTgLWxIXSMQgGqXBZ6hm3H3PNl3ghAoqx2hwHPFT3923LdumAiNWlu2K4bloB6k5lmt1KgUgkol0BHp+AgwPFfvC9rc6kYUZJ6r9yQpD8gpiUBi6FkENGvEtEeEb2eOLZJRF8lonfM7w1znIjoPyKid4noW0T0xcT//Lz5/DtE9PNzX3naMJWtuN8HFYuwPzpA4188AIIA7os3oEKt0Dk0kcP/Ux5H51xY4lUUVl2SPRIzVKuD/ne/OP3/EkVC/UNUgosGxJxeiWiCvg6GpUGyauV1gBiqeti7O1oKOzw25z1zpwsqFsCNGvy1IrCxJs+z1xf94yCWhgQQbYzPLPQT9Cd2XSPvNuLpDSMeo97EcFM/axVD24koIKpUjD2w4fmVNfm4WwGsZMl7pWB3ffBpM6rup4+OAUhUlAOhIen+IE6CXhEpSVIksqOQvl/5ULR1lRdWglTD3NQcMUidHzFZ2CVkc26ulND8yy+BSkUEd7aAIEBvW5L++d7N+Pxh9zaUsjSdhJNYEP8pgK+MHPslAL/LzK8A+F3zNwD8BIBXzM8vAvhPADGwAfwygL8A4MsAfjk0spcFofdYn7bgP3kqpRaNEoP1h2+Mr0g3A6jdRWm3G2fzh8ejUFPKnc14mVSpGFWEmrmAR8rQG3UUDvtn37jk2qy1BqztLeExhzxRIJos1Pbm2a+cM2mPNUM325d/cJWQYqhqGcD3b2HvB3dAL9yDtbEOVS5JZb+QkqTifqLK5eFxMGViFJWKQr3YO0RhtwWcyKKum624rH27HS0eyYprQ0btJPcVenRHP6/5rKc3hXB1mHQMZjG4Rnmwo0Uw5u0/V1004jyq3RKPC+4P4Dw+kn5k+oC6sS2bslIx8sIqU9yJx/WVJQVrliqGmkGVCtovrwEAms8VxcMYbniXuH2uDJzYVFzVJYxzBM79nRp02kLjG3tw72+JWgYztl83SlnvfGjmSQ+lN59KvlnoNEix6M6lT5WZ/wDAqLX4UwB+zbz+NQA/nTj+n7HgDwGsE9FtAD8O4KvMfMTMxwC+irNG+JWCLAvselCb67Dv3AaUgr5/C6E0SRz6DzvkjNn1Axe6aAPbm8CrL0iJ02oFZNuwalU5N5F4j1SihK+yZjN0tfFqaS3SdcnqT1cIcgoIKg7o7QdT/69ud0RNxFS5Si4EVCqCj0+GPm/fuyv3PE9pbIwk/C3BhiPHCJhRPtagZkeoEYEeW24eQJwEmPjfaXie7HqgSsVk7hN0qw2ybTkeelicAtSLz5lyz+LpjpLoplnQDNXjzDWcx/8PNadnNESpUIjKEFsba2eu1VprzPS9Z0+U4EyPHMtxMchS6Lx2C1QuS/8bDKRyqo7LBEdRgJCWNNrnlxilUw2qVqAPj1B+2gOUhfV3usBgkD0laNWRQgRt/ktIX68dtg0UHAQlC3qtCuvGDk5fLMG+c0tspnIZIAXv+R1YodxmaDcBqSS2z7oNucnMoZ7RMwChP/wugI8Sn3tkjp13fGlAtg3r/h34L9+B99wOyLbx+EfXzj7kIU/V9JM7NWpovVAG+QHYVpH+Mgda5JyOT+QcxrDlJMd5xsIBYRUoPRggqgB1xej9+BfgPDyA7nbPvnkZhzkIJDPc9YaMBmtzHbrTRWDKZQKAqtfB7fZ8SW3Jaok5lhbkBag+7IBbLejjEzEc2p1EieBEmWDPna8QR8j/Ljrwtqqic+7YohtrqBfc7UKvVYYXjxn6kCoWpfz76HxjNoARRw+IjH6yHfGsTwNTcIBsW+7HskCOExvgZu6LEmrmRcqSTzNjCebDaaEHA9i9IJLTItuOVZxMDkeUJzNvlckFgxTBrSl4L90CBwFaL1UlqviNdy6ueJlDHHyrSDG6DKwR3N5EUCvi6LUi/HoRXCpgsGYidYmcEXetIP0+KlaWntd9bpObmZmIUmshIvpFCJ0DJSwuyYpKRbh3N+A1bDht4YS1P+lB1aqxAcYMQM9ldHJ/gNrjAfjkFKrdgfZ9IIhDnEO/mQFOIZwwoqMaFvK4ymQvtiChxFkr7408F1WtikxfwotMxSK4P4BO4T6vTWLcdcbhCZRXE0PZ9+MqdWG7KUv6TQrtSKWSJCV5PuyW4Yn249LEVCxCbW+C336IMyN4HK/6ArB/vroGOYXhAgzh/wQBohNPQf8II20cBFAFB7ppFGfM3Cfvu+mMhdDrrjmej0ilM+dddzCj+NYTUVAxG0GyzAbEyG2SXQQzp9deCwJrk+djrl35LLzVkxPYN7aB06YZP1cfKc1xDtLenDEDWkMFDK8KDLYcOEcO/AqiOSpUNCvtnaW8AhAnyZyY1eTeNVQLmN975vhjAPcTn7tnjp13/AyY+VeY+UvM/CUHi5PxolIJx58qISgoHH2qBKqUcev3LOhOT/iyiRKLqlSca4frl6SwAvf6CCvVDXFsQ6MvxV002Q5UyP9agsS/oEA4U5FvDlChMBymI0L/R75rPipGiGSY+7phCbKq04I+OQU/2RUjYZwcWorFZ7jbBcKiEL4WOgZzbGzubAGWdbbgSKKQycTnGqEdDX2dNWYsh+05bb+PKmMJrYQKBfGWmySiIVnFNPpNIjEx9Irl6gcTggjsm0T1dge614PuiMGgu13hn7ueGMsriEJHg3wZI6QhFXCZwSensjnI+8n5SJGzu3RgRumI4TQDQGvYfXFCatcTewoAW0roGxlspma1nH4bQKh08fMAfitx/K8atYzvA3BqqBv/EMCPEdGGSfb7MXNseUCEzh2CXyJQAOhOF+vfPoXaXAeVSmb3Lo9rnvA+d3soP2rB++5PoPeXX4OqlmFtbwEQbqAqGe6yZQmPMMxIn5XDbL7L2t4UA9WypApZ0mN6BQYTq0Q58HmhLASnzaFD9p3bqHzt/dT0hc8UnVh1z0YyY37V78VA1CQ84Wrq4ExUgH0vtQSzSLqOCLpmkmk1QzWMmk5/IAoGIW90tIT7FM+ckm2VPF4sRsl5EZRJHk4umrO0LykxvEKJOYQh/kThlzn7TZLuFutkX/1mfhVgrTXAt7eAnU3QWgPq858GlYpS/bRQgCqVhMaw1pAcDmBlNsakCPVv7cH+aB8gheKRB+6KMRSYxOuxSbA5YlzDZ6Me7YO6A9z8vV1ohwA/wNr7fpTkqk05bOu4A+4naGMpzimXUjKI6O8A+GEA20T0CKJ28e8C+E0i+gUAHwL418zHfwfATwJ4F0AXwL8BAMx8RET/NoCvmc/9W8w8vexEhoYKaw2nBVSfufArliTJPTsEVSvgZisK8QJIJXnC2WtD325IdbB7O6CTUwkphPyzIEA4vYVasrPRFzQ4MNn7rishUGD4u65gcFkug72zoeSZMPJsyLYR7O4ND5RZJZVC7iYpkDXfZmni813DyW5RuDBDmxkgpPOMNQOuB/T6sJ9qaNcDFIEadeD4FDxwJeEwGdGZceKOvMsj123d2IH/aDhQF6oi6P6MknJWuEE3XGzLAvd6EWWCCoU4xD/vc4yKowRgpsjDneNysOdDHTZlQ+N6oA+fQvcHUI0a9NExmJT0TwD2+pr5p9WYV1StCu50oe/swAZgfeO9yFBeFR72lWPc2FzU2pLROfThESyl4L56G07bB3k+av/sPaBYEHsNgO50QK0OWCf6SYp95lKDmZl/7py3fnTMZxnAXzvne34VwK9OdXVnv2Suf7/wq9sd3P7nbVjvPQV/7jnway+Bv/EW/NfuofDMAU5bAId8SMPlO2chuwhqcx3tF9dQ+/qHKB03xTP6zbbwbAFQ6LmCMZTnphPIwsYmNEyKFpNhfMkzsfp65hLWVCxCPX8PwdvvyYGR81g72/Cf7QKIPYzWWgMgheD4ePrzWRao4MgzTHoKrwOuk4FuDGIqFOJiPcoaGkOqXAJZFoLmcERi9HOXQVXLkljCLFVBXVfGq2+SdQcDCQvCjLlw0zvLbZ3Dnw/29s8cP+NxnvZcmkFKRc8vchIknQWjxYJmPZfvxSpAgGw65NX16ZMZgmsV8JNdkdfUwmHWzXaUpEwFBwgCBI9NkacVGetUrwPM6LxYQ7lkw373iay3wPWae7PCeZGEFWj7i8CaERwcwWnUQKctoeAFOpqnQmeB0JWMjZPyPefxLwPd68M6aIG7XZTefgb1cBccBLCbA1C3L5SMxEIxqw4ptzuoPGqPlcYhRSPfm97kIPXW1eJKIF/yTCx39ntTxSIG99bHTwxE0KfNMyFj3e6coW1MBGbxHCYLYWSJRU9qKz6JngFr8YCGChgjRrDudhGMK50+w8ZUlDEc6M16fNAoU7DnA+clmUxJCxGN9pG+ThRLJyW/ulaLPzsLhYt1pL0cq4vw8O+0EFHcdFToJTeIJgOVS/Bu1EVzvlGD+9n70F94FapaNvxzJ5I9tO6IiFUoFbjs4LJU7PTKhKBsg29uiaZ6uSQfuGrd7mXHeXP6Its+i3MZdSP9/kMEB4fQrge1vhbNU+GGWxu52SwwvzDddQFrKY0denqJZBF9/V0EmmM5m+jzMxoa4WD3fbAX0jxCCbmMJN9CdY9FGEehF+MSb0bhX3wHgclqnRa610fpnV34Y0JOVChAj3wvFYuRh31WcLhJyvoZrnjY7MrBHKthjEGYuKb7I9JoU3qYqWQWbyIgiBPW+CBmmiW9sbIZxky0jHCzOzSGSQFhvkMiasS9XvyZWSv9OfYw9xrGaz8YDFMy5kVIxUAQ866z7P/mu8m2wb4f/V5F6NMWnG9/CG0qSzpPdqE2NxC0OzHX3CRBqYFs3OadAxcFrhTBjgWny1Cehr9VhrNfAh8exbSqHNNjkXN+2uciMvx8B7rdgXrpeZDnA54PfO9nob71jujul4qirFKrCo0n5QTI3MNsYK01cPyvvIbev/S5yOAj246TXkwlQABz7Z6oVsHBF9dMCM0aTnbJQolBWSCnAFUsRsVQMsWEAyXM5J7pFL4HvX9w9g1Ssigk5fOKxfQE+xeRkLTIpKcpq9utDC6YJLXrjTeSpvRssucJ5UIRoBAViqCGeJtFbSI+T6SNOktRAT2m2JAOEDzdFaMzeZ55DUCjaRpeZyRzadQW0pYoCyucplYM5dwTkah9AGdoJqsI6+4tPP4ffQr+F18FPv9JqEYd3IsVnVS5DPvOLdh3b8P93lejdWApdK8vgTrtiKb6Rx04bz+G860HUqQqRB6FuBzX0CFChnJBhQKCzSr6L20DtoWjz9akgJSiOJF4ZytRATi9vp57mA24P0DpOEDlzV1wVzyUYdILMLIQzcMRdGxsvNWThVYnvU/ZhBDIsaGKRfCLd6EePoNutcCw4gV41mS4y5DlgDWSSUmoUumMhJf9/P3IqJgLQQB43mIm6ussCbQEIEXjNyVT6v9SqQS9WQf1XKi9Y2gItUAfHcffl9xkJ8XzZ2njMeMpE8kwE6VR9ZqofPg+mAnWjR3hTJvPpJL0h5ifHdGlspo3kgmFUUn41TW8gqe7uPcbA6BSFqdOfyARgEZdnqki6IND0QXnG8abn0yEWlKDigjcbEEBCLbqwGAA3emJ5zA5nnKcj6zW9KsEKVC5DO50wUEA651HsAAwgGJTQ7fagOaYbnfSim2qFJ9D7mEOoRSKv/tN6L0D8GAQeUBT90JoDSbIwmkW79j7lH4HZ88Huy7o8Z4Yy8FIbfVVlRUbMTrCBKwQ5BTg31hLJQwp1RbnK4m+lEhJHmzpMIvXfFrjyXx/+zPb4M01SSYM9dlJicxcWOAoYaCrgpOeVz/tdjMSlABAlbLINdnmPsKEVyDhuVHz3YspoGTdvCH81FBCMyuMPq8V7/ccaPDBEbjZlqRTz0dwfAJVrZjIqOTJFP7svXhzk8U9pzknsmiZ64MjqJ4H3emJ4+rWTkxvSlFP/WOHFV2/SJGoYdzcBj77MvxX7wNbG6BCAW5NkpTV5rrw9AF0v/SCSfQnqFIpnlfmvP/cw2ygNjcQ3N5E92YZ1a89ANodGZhGVikshBAZt7Py7U6asCtFCSH4vvDMkhW5MgAHGuj144paS8bbU5WKSMGNKhdMCOEiDnucybFBb7yPVHxIRppvyCO/6kjRS7h0uKSdxkZzpnwG3G5DMcPZrgKeD7p3GzhpAr4PGgxiBZjkdWRFt0mpDcmypLS34Qay50d607rTS0SlRoqvzKnKoY9OEhSQuW/jYwHVaODRX30FAFDZ1dj8s2PQ42eAbYPv3YR68FjKtysLg889B+ef/jnY96CKReHvJ/vMvP0n7fnD80C1KvjhE5nXSeHw+29i/d0PzmxAc4zBRfPfis75rBl8dAKUS1BKweqKDC+7Hir7Jn/jtCnzLjMqf/qhRK3CaHQKcxWQe5gjsOdBdQawXA1utcXL3B9Ad7qRJFTknZ3j4VO5jP4dw3OslmWRMt4oVakMe23CLPd5vDjmunVYBSeDMMVYTHG96sa27BynQYKLPSRibwq86F5PogQjn50VEdd8iZ7bfOf5mA59UrH8UPLwlJ5NDjS420PpvT1QbwBqSkiQXU/C4I4dU7oSNJAoUrGEYN+LqE7B/gF0tyvPZSThNSoxO6/HMlQxSXClF7qQr/DmlyyF9ucGUC6w9m4X1OkN9S12Peh2B9xqofTBQdR+Y/vfvM889bwbBbJt+F94Wb5eEXrb8Tmi4kA5ZsMqzv2sJfG+3QGOjLHc7YGZoQammq9KqIAlKZspUq9W8Mllg2D/EPrt91H65kMpRRsax+FPcnGYx6PS7sBpuoClJMRgWZFcDjm28fJYQ4Z0/DO70QwsKJQ14zVysTDxZ1WpBP0Dn4O1tSmJLGZjQcWiGEPJ9iKC/dzd+Sb1RU4wizIYVpi/ORHOeY4cBGcVMoCpoy7suhLy7nRl8vY88c667vA4GxlzZGTnpmrnIS/1OCnFc/rn1LQUjiokhgofUV5AVtx6IqhaNUrIA5BNYnLogEC8ORoq9b1qsCxYhQD1xwFoEIALjqHRlKAOm2b9YkAp6LWq/A9RNhuTlOcsDgIwM05fKkV9OxjXVCu84ckUlz2XVZ37PQ9UKsL71D24n3se6tYNkG3D8kQsgV0X1o5UTT7+yiej1wut9PdxgapWoD/9Ana/u4at13uwvvGOJO2Eu5YgiJQsoklnhgQeqpSlQ/cHoP4ArDXC6UabTOCY9uEPd+5ZPNq2A7AG2faZRLksEFI+JqZ+EEE/25vK86ZdD4UH+0ZCSYrJqFIJsCzoTpxNTUXhYOq9g7kTHDkZYl+kPF9m32+S3FYsNDcRznt2yoIqFePIwzynKEh1Kb6zA3p6CLItQIUV/QhULoHCpLywaMmsE3fyXsbdV9oLYEg3WwTChL/k+MzIOBdK3bg3VjBE3e2h8rUKau8eARqgVkfWD8eWBEDPj6NiQ/+4IsZSEKDxoWzWWDMKp/FbVK8Bh0cg24mpeLO03wq2+8cWpITG6nqweh6s/VOhYABoPl/Cusk304ci67n53z5CcHQi/ztrleQxyD3MBrrThf1wD2sfeLD//H3oXh96MIDu9cSbZOTlovD/mKIIk8C/u4XOnSJ4rQ59Y8OcXEOVilC1KtRaI/IuS7WmQiS9NIvnJSxAoAeD2POaISLJpkmMZWXB2tqU8PY0JXFZg/v9IQk5KpeHDSFlAa+9LF6yvvGSzRpCTi4yi/I2Zz2Rr8rCOStGDD5VKoEcWzS6k+NoRsOQTESEvEA01V0XXC6KTrHvRyFB9nwpekRqmNYzzXlnjizN1ofItqNiKZlGpQx9igzXVk6ekaFO6oy3P8IKGk261cLdf3gA+mgX9HQPutkSOhApcEid0SzJUAdJazOD+SvDzVUovaoTHmauluV3EMw+p19nXPY8VvF5sQYCLVEUX4O7feHrBxrVJ248j5j+7d3fimXokvPLnMgN5hCsoU9OUf7OMzDzWfmpxMAkZ3L6wCjsj/bh1hWo2QY93gO7nvx4PnSnB91si5Hr+fLbGOsRNWTq+5IkCbKdxVRImsIQsxo16OdvCScyOYgvDSkx9EliEVCWeFcS32E1auCiFZdInhehRvaiDM083Dg7RhYEVRIFizN63HN4mNjkBGDvELrbBXeERwrPkwm6HIeTw/lE1FZSDIlnKR8VKmJkqloh3MMsVYIi6CCW4QvbZcmSn6cCKVDfBfd6wlUeDOK+ZbjzqiRWJjcTlS2z8N5n0W6BxskrsZVc2Y3nXb9REipPYUFrWo6lAD93C/3P3IMuWOh++QUcfeUVkG3j6LUirK1NqGoZaq0Ocgro3C2BDNVVVSpDZbPnQW4wG5DtgD/zCfRfvYnTf+UzUGsNqIIDVSzCfvH5SMkBygK+65XZE/GUQqGlpXxzMnEt8mB7xjhPJBbOOSGRMobeAoy9aTxS7Plg6xxN3Mv+d0TuL+mhJqcADjSsbz9I/54XxjFeEO3jOmL0vpSSDVWyXPac4VhybElOqlWFC6uUVNlTCtA6Kv6hSkWhJ4Wa6zNJ3o2/zonG2gxtHOVwnJckliZCLzZrU6Ex+36fleb9wqH1cPuwln5OCmQp8bCxFs/6qkSUDKfd+64XcPoKRKoRQP1BL+rv9rtPAGCpE2ivFHSO1vwqgxn07BCF3Q6s0x7Kj9povNcDggC1JybKF2joF26DLIWgSIDpH3owSG1zfM2e6uxg34P68BkK/+I7cGsUhVaZGXp3H7o/iCSW6O2HsxuytgW7L1XBoAOZ2CwVebSHQqGkjA7qfNWZhjxbGWOq8ygF63RMeexJJveoEMSIl41IRPtbLQTtjlQ3TAvXaRJK9t/rajgb6H7sfSPbFr77nIYZ9wdisBQcwLFB5ZIcAyJKBmuWSpPJynmhLFYKz5zK5TEHL0kQnARDnOkFGCWj0bys+mOUtC33tNIeZkU4+d7boE+/BOvWDdCnXoa1vQ1re1OeJ6SPkm2DBwNY20aFKKz4ByztuKdyGYWHR2DFEfXJeXIsKlJAFF1kz53PY76K1IRJsSobpCmgD4+gDk+AkybUUSvaOHVuyYZQd7pQH+1Bux5Kh8FQddK0InvXyAKYEyF1oVyCdgC9tS5eIc1xqVjzOe6NMfImxcCFtgkoFtH70ktQO9vCUy4UpCrf+hrIdqDW18Q7VSzG/GWKk4omhuH2qHJZvORheeysQlnTdEit5WcUkximifMMJbeMLvajG5tZFonQyFnEJHQVi9g1XDiGvK8j3P2xya/TPvcwqdWxgRtboEpFvMyeD5CC7vWFhjEYyPwBpLrhomIRza+8dmYsUyEuf0yFQqw+Mc14DzfsSnToM++TQRCP4SU14pYNRISj1yx4WxUEO2ug/kB0/VmcMRxGByxL5thwc3BVEn6TghncbIGbLZAm8MCo0RydRIotQ/kueX85i2Vs1xTAQQB92oT76XsAMwafew56MMCNP26J2ljBkboWAArNZB/JVTLSBxGaf/klec3Ao69s4u5bsnOhe3ehnuxKqNJ1YwN2Bj1m7vfhlwnwXJTfOxTj27KiinT6tGU6RrK048h5pjifKjhm8jSasKHxP+rRuYpBFgQgfzYPATmFiPs8RM9QVmygmIS/6LPm2MyYsnxyjqvDRZEOVXCg+3O2o1IgIuGRKgKXi6K/rLWoxNg2tBsgXM5DWgYRgafdeCkr9qSFYzUIUPuoB2tzHVSrwn/wEAAiObhQZinq79N44szcYDVqot+eZb8P9edhQqchzzwfZxeCfR8v/NYJ8PYDWT88T6IX7U6c80IUG5eJBOmZnm2ahU4mQRAADMCT69fd7viqu/mcPB1WWRmERLbTq9soOjb2v1DEnX/KsHdPRDHL82HV60CrBetb78UiACk6ulbDYF5EIzNj7WtPwO0O1uo1cLWMwFQZCt5/aISxhWMX8YxnANVqqD5xwYEGnbahT1vChwwSyS86GF5U59F99v1YuSJajBhAOt8/D6hagX9zDfhg5Ph58k/h+8Uiev/y51H+6jeNUWB0pm1bDJWEzi45NlSxiCA0mGfFPLJgU51nRSezFUHEz50TRAQGwK0OoAh8ezuOloTlpS1LNmxhhVDWMQ1gmnaOEk7jaAn7PtQbH0D3eqBuIuKl5/Aehp5pxwY0Q/f6ZxMlMwA16tCnTdlUuHOO00lwDcYYlct4/7+/htt/+BkUDwewmn2Q6wF7h7EMquHTc6BjhRhD+2PPNRVSl4+Wwr5veNeGw9zvS7QEYjgvnDJ0nbDCfd/aXAf3+rC7Abjbw71/cACtCMF2A3RwBGgWeU/mSJko2kzlsnLpgztdYGsD+vAYeLYP+7l78ZtEqSQLwbbgrtkykRnDLlyUxupmzomQdz30AyzFwGHXg+rNoA0dBCg/7sTlhyHGMmseMpZVpQKyLATtzrhvmRyL3JXnIcZUcF5CnCoWx783Ja84KugxGrkIv1sJhSc1WbYx/U+322DfF0Mo7XMo8VCTyk5aLpIMOziE7nTH07NyjAX3B2h8AFTeOoD94R5weALePRAvvUlyCkubh2pLYcJrGG1bRmMZMHkG1QosF6CqFF1h14Vq1M9+eAnWsRyLgTYVmIvffAB9dAJdFlGGvS83ZHPve9DHJwAAqtczsaeW32DOWgs0cR7sbOKdv1mHqlVx9JVX8eBfvw/75g6sRk0y4Ymi31Ey3pQGjq5J+FFtrEtCg1GwYJ2gFiS9Sdd4QqCCA10+W6b4MnAQQD3Zj+XoOE6ijL+cQC/eFw3mNKSUFiUpd50SC68KzOcaA+dmTE+rUa5Z5OLqdeENA1HBHiKKNECjZMPkHLasbRzOZWGVOEDmpWk00qcA+75RB5JNvQ5pA9d4zksLZCm4DQJaHXCtYtpMw9pYh9rYABUKUkHWsqCKRai1huSzmCjczCpPQObtI8a+B6cVXx9rlsq4OT724G5PbICHe2DfR+1pmFTNUX5K8PTZbNG8S7CkM3cCC5Tx4kfP4HynAl6vgzTAJNX3dK8fSdhoV+gYs4qmq04P2pZkBknIYOE+hgtqilVpAAwlAMn3L9Fi5PmwmmfLFF+KcTrMI4lcqlgEDo7TMXJn4I7Pfq7cy5YKzjEGhkowz/P1paJIxCkC9wdQu0dQjcbIh4zqTcJYTlWtJuKUpjSNj3wfJeelLGAcEKw5mp8i3ec80nIxlIK7BgQv3gIFGnA9oV10uuCO8DnZdYU6FOio2iSHFWuB6frNZSomabeX50Ml9rWkCHq9lu45rjOWaZ1PC9/1KtTGBk5++rvA3/dZUK0CqlahPBahhEoFqmockq++ZAQTSFRhUuqfy28wLxJBACaAjpuo7HkgDUk6MBrJAOY3aLRG8diPPFDheTEaPkh7AgoSSUNLgqDdAX/4+MzxSUKFYZKk/KGHvchKFAx0WBozDSxoAlpINOXjgJH2omJxOPkzemPG8eB5gOMAAxdYMwt5WDzCSEIm+dJkzWCkTIjUQo9Gv5UKToIDqIffXxQWMd5WuOgFBwFe+K0TqG+9C70vxXN0uyNrlVmvtCs/7HtSfhwQZ48X0zMmP+E5OS8ZFM/R/QF0r4/yvo7KzXMQgB7vnT1vjo8HiLD75TqoWgYrgDRDV8vAYIDCiWc2giRODABBo2T03dOV1F3+pL9FDgytUTwBgtvbKD5povZ4eyjcmsa16N19FNZrscHHGqpSiThnVCgAQQBVq0oFp3GNPc3klPQmEC+VB5MS6iDpfSmBHNEehZLS4qmdYwFc5rGZ4DnmAhWLkvg5ymWfoz2pUIg2ueT5gOOA/ZbwcB0n3qACsZcPiBMAZ8Wk1zzjvZEiUKkI3e6ALAU98OLkmbT7PnNEw2APqS9ulyEVtZQrAhUKePgT69i+/1mcvmDj7v/3Cdixgb1DwPehalXg1g6YCPzW+7IBchzoTlfmXSPll4rEXNrzImuQ5WD9jVZCDo9jKklO27kcq6yGMQ7MuP1334VutbH5pyVg9wDkOAgGA9jf/hCBDqC7XSijTW+9+xhBmNuRYnXL5fcwhxq4C0JlT4O8ANg/wsYbTdm5h+H+5ECddaEtFUGdPuD7oHpNJoHbN6DWGiBFIrFkWeDnbkf6zKpYlFDy6HOYxIBnyZAmS0n2+xJBf+nT8xcWGX0Go57FNEr7RoVjln+45BiPoNU6O3HOu6CQAkpFcLcv4W9T8Q9G4itMaoPjDEeQ5tm0LmDDxq43FOnIInkmhH3rJgDEZY6NJN4iQCZ8e/GHltST6XnY+aaH0n4fugC4dzdA3T5gKUMVskDtLlSo4sIshXVGk7/nRVbGq1Lo36oguLsdH1tUPtN1wEVtsqx9+iIQIXj+puQllR10fuBlcUK89jKwswmr0YiKvqlKBb0vvRT9ayhbmcZ9r4YFsCivqFJwOhrquAkeuLCeHQ9pWqYRwqNyGf0XNoHtTcDzRc+12Qb7QVSVCZpBu0fiBQilf8apW0w4UXHoATNFFZZhwKgvvAarNZjf+5ucsM19secLb0kH4HFFKmY5B7CY8HSKu+ELsQR9YFEY0iNO6ztDebdiQaSMfB8IPWAqnlZZG4kjPf24nfhazvPKzlCCm5QJa4aFWUjFc0YGfSY4OgZgckPmkcSbAVQqjTm4GuOCfR/VN57BeucRyvvyvHqfvAl9cipUt24X3B+A2wk1oaQ05hx5OJmDGez5CMoKfr2QmNezST69lrioHy9be08CUnj0V+rA42eggOHWlIgm2Erup+DIXFsqgirloXukei36jnmx/AbzAuuicxCg+v4p9Mkp2HWx+xPPR9dgvfwiTn/ue+c3msslEEsYl+sVsOsiuLUFvrkl9AHDQSMVC/pHXMhQjzXEhJO7MpzELD1FISb16J681oA6OE5X2sgMElUqRpzzVL3qM2xWciwBsmgrs3hTpweUiqBKJZKJFAlKjUhWLmuazXn3N5MWs0n4K5UiWcYsNcijMDsAKEvmvCwrkSbAnXPkJpPz6rKOc1Lw7mwCysL2738E581HcNpelEBOjg1utUUqdYh/PKPzadHPgTU4bAZzbqpW8ijfpLhmHubIdrEsULuH0nEAfXQM66M94CSm7uhmG1StgJO2jqn+l4bjdTV63wIMPcB4op7tixEXBOjtxHwp6vZROgrm9gDy8Sk++isFdD5zC3TSgqrXYZ12QI+eyvmDQKrzaS27plEPbHLCmIjLqCQ8XK3KDizjZzkRP1NZqH00QHBwOP8JRz3/RjoJzPK6Xps/q3sRWeGLxrIaAqsCy5J5KQjABQdcKQlvOfTahYWIjDJB6M1bGEd9JOoy+f9pUQXqdKC7XdlwhkbzLN932emSFeh0IDKQo0m8GSGV6NMVQW2u48N/tQKs16Va7GAA680PYd26AWt701RoNHQgQGQQE1KB8mK554DSkQe7Ga9//u2NOFk+o4jHxwJL3u4XgW/fAPUGqLz+BL0f/oxQdnY24L/2gikuR0CgUX1rP7rPNOXlVsNgXhRIAZ4fZVpS4vkGeweo/PF7c5+CBwMwAeWHLUApSfbrdIUuoZTsoNYaUsrUSM6F8lRUKIjHJ/TATMhhZtdFsLsXLd6ZDpgJFjpSBLYpnQQfGvGcm/uN/mx3xt/vvM9ghSedIeSLzmxQKqZfHJ0CioTD7IT6y2JgsmahXS1o0z+XIaGsSBmDTIgTgJEky1AXXiUM8rRlNS/CCvNhybbhlxnBVk2cAqEhOXDBvuhos2sKlpCK9P5D2s30J1ys04A1wznuwzo+JwqwjFSSHNmCAfdmVfo6EfyygrV7AgQayjPzrecj2N2XCJ9xpOl+esICy28wG29N1lDVKqytTVC1EiWDFI94KDyom+25z8Oej/u/54G0BrfaEtrt9RNeFgZ6feGf9ftD+pns+TE1Y4qFJUwejBImrthIYs2wev7ME56q1+H/yPeICH9SdcBkBkdJmjoQNYOU+Oc5cgzB98VD6rmAH5yhF1FopEQHUi4UkfI4ptBrTir2vmY8V7CJqIUJO4sEp1Uh8YqgPIJ12Eb3kzekzfoDKerQ7UZRjXDNoIRqQqo0uIzajCwL3kYJuhEnZtqPDlc6KrBwXCNnCAcBbv6Ji+LTVtTHQQB8H4N7a1DvizxtaOOcfO9tSSSGmYc/TjrM4qVZgMEzGEgmsXm4m9/uhRcgPyl4icix0XzOQdAoAY4NDqWVtI6M4bAaGbvusBc2DFVOs7smJZNmaGwDS7Ezn6kktgGVSujccWRBGJNMZdWq8SHfGOaj/KVpB9CiJp881JgOsn6GYQKSSYrTtbIk9wWBKGaEOsaAjG3TT9PM8o+yvxOgQmGYjjHNWFd0hm8dVuOLT5D+c02eY5EqCOcq9KwCT1ZriYCetODV5HpFc1nmO7IsqIIjRgPrWBY1TedBxl5euzmAanajv4P9g8yqTl4rXMf1gxnlN56g+/yacJT7A1SeDsADF4N1W+w2ZcHa3gQHAbo3LFBdSqlToRAXrJrz2azAzIDsOW1GrkYPBhLCcj0JCe23I08ua04neUdrWC5gnfZk4jLfG4ZwQSrmm0Xe5DnCoWHiUWjsL4FKhnjeZn+W+uQUW//k0bmGcORBUZZk0gJnzzfN+fPw3+oh6/ZSChxoUKkIKIJ11BR1G9uWTWoQS3cNefRmSTw5z8AZE3lTlUo8vqd8Buy6ZwySJL1plu+8EAmZMLIdWPW6zHsL2jTqbvfswWkLelwh6MUOvE/dQ+PPDwHWsHa2oBp1UKUMKhWhtjahbu5AlcuwdrZBlgVrTeS3yLbjfjURtW+x8x8HAejNBwgeP42PZaB2E+E6GZnXca0ikuq+Cgg2a7LJVlJptXPbknkYAK/XAdZSLjscxzo9GcUVMZizzzKnzXXs/sL3oPsjnwEcG9bmOnDSjM+d1K6cZ3BZFsAA9V3hKRvxeJGvG/HupMTxBQAiindZWT5PokuVMlgz3O3qhZ+5FFpH5xnmMLNUKrPt4fZaFc9tbpyvDMgk+1GhIIl/Rt4o5ItGXuWEATtT0h/rs0YzUbRIDGGeOcNo3pMjyhWRwkxSnSfpoZx3PIXSZpYl1ejCwjKLGgML1HxOG8HRMZ77jxUKDw9kDelK4p8+OZWQda+HYHcP/kdPpHLeaRMcBAhOm2DPlU3cNDJ+53GYJ82lmQZKvOPs+6KzGyLTdWs1TKGJEOZg2c7Y46sIVRQlIjCkToZmFB4fR/Md9weyEWzKHOJV4nlKu15qBZGuUS+ZD3zawsa7LmrfeCJcZdeTSSj6QGKxm2fgBgFazxE4LJWbDEUOZdTrdBYOYzQKzcPL3ntC6tLJhxTBbrsXfuYiWHdu4s3/7XPo/9h3w7qxA+vmDahSKZrAda8PfOFTADOCo5OoRGZuiCaQ3EDk/O6pwUEA7vVFVo4ZcGyhY3R7sjk1FUIBiCFtjM6Zk//GFF3RHZmfrEYjOhy0WrMbPiimzAAAH3NJREFUgkkdcyMpF44dKZwUGv4p6uKbHBUqFEQDetGJeCtqKBERDj5fAfwAdNIS9QjbBtWqoGoVsCyoWhVWrQpVKkrfKxRkQ5RGMacQaSdpEsFaa0Btb0E1Gnj2Q2tDfTnVa0+e9go49FmDrNXs2+PAzKB6FbpAULtHgCJ0X90Bux5u/rNTkVEMAsCW+SNw4vwRMsIJaeD6PNE5odsdFP/gdeijY+ERd7tnk0JSWCiYGaVDBgXCVY6OJ2SoUjVqmcGeuziDUQeX8sxYM1R/Di7awIXyCU7Hj4wUHWrgQgYIvfWhvA4HUo6zWFFjYRmgyiUJ9VlKCpZ4QrsgW/ISIioDqXSoXGMv4pIFPrkRmsYYYC3RLyCmcCULJ6U1j5jrY81RjsWix+pYA30FDCeqVXHyBU82apYFqtXQ/+KL4q2/uQVVr0nbOTbUWiNyzKhqRbjbyajbPPeb9ppCRjnK8wDW8Mtn388CmatHLRJmwxzRPEeOryLYdaH3D2F3NXhrHWTb0I5Es/t3KuIkYw19dAIwo/bEi8uqD33RfG28XLWSrxD0mZfx6K+so3jMuPm7j8FHJyYZL37AZFlgT0rgzsqnUsUiBpumsAEAkIIqO0AQQJuStKou2ppsKh4ld0qRUR1iGQf5ZdfEGuqwiVm3H7rVxs6fMqw//Db0UFIkAxR6/3qiolEozF9NMMS0SVTLDGaAg4hHyivC21wWsDGQudMFhVq3liU/hss8NqM/xQWfXVfmiiGOdMgBVvHGW1mTbcKZpWphON8Ui5Kw6GNYiSY8z7xjQQdQpdJwYuGi++Gi5P5SBrc7uPNV4xX1fXC3h/K3fHCvD9XpQff6UvUsirwpUWYKJbbCfjJNGy5i/mMtxr1mYNTgA7JL+rtO818UOVzNvj0WLBVTKWBQpwft+ygeuQjaHVS/9RRcqyI4HET9u/RPXkdgnGjse6n120tnbyL6VSLaI6LXE8f+fSJ6k4i+RUR/j4jWE+/9DSJ6l4jeIqIfTxz/ijn2LhH9UipXnyLUYRM3v97Hzd/5AMHTXTGWkxJuCc/pXMkHjg23IZOVMlnaVKlA7WyLukOomWlZsG7diMKUZDuRjFpcrvbyxVeVSqBiEeQUhhM9ssQk55ijAp/u9bHxTx6c9UoRycQXBLGnYsWlozKH0d3NMR3Yl3LzWG/Av78jlTtdVxQyHHuoPDYQ8wk5CFL18qhq5YzOKNnO7NQGU9UvvBftmsUmC31kU1hD1evCUQw5lyEvNm1v2Jjvs27snPveMoMDjfoHHeiDI3C/D2aG+8odof/0+tI/jbY/9/syV/r+cC7OtO05T+L0NNAa3GrFUZrr4qRYFMxmdihhd8X691hYFuyOBz5tgT0f7pojsrLtDnSU/2ASrZN9JsX+M4m74z8F8JWRY18F8Flm/i4AbwP4GwBARK8B+FkAnzH/8/8iIouILAD/TwA/AeA1AD9nPrs00IdHcP74TTGwRhQxyDIlW0MDdY4G4F4flWcUh3AtBWyvg0sF8SgHgQjO+36k1hFXDBsNseiLBwIR1NYmrLu34f/gZ+X1poQzhozotJPiLtutMyN49GTmr7dvbOP4L70Aa2NtWC4mbJ8wcQlItzjBdaQw6BFpvhwTgYjkp22UFgZurHWr43FKjj1kpMzEYb5gvkmqccTHxmwiJz2V5tgzFToMJryWWaDbbQQnJ3GOBTC9dOaESPLKQwR7+6meY2FQBHXaBbRUZkQQgIyyUhhxkIRKJaHpUF9bc2KeTGG+T9sQMzr6YbXdHHNgnNG4wpsP7nRhNeMy15UPTmSuGwwibns072XUdy61AJj5DwAcjRz7R8wcxgH/EMA98/qnAPw6Mw+Y+QMA7wL4svl5l5nfZ2YXwK+bzy4N1FoD6tYN4O4tWDe24f2lz8Ha3jLJLgqqUYeqVmLDcsbsYHZdlA+0yJ8UizIxPDsAjk6gtjfFm1wpS0i31wM5tiRtICbxU1Ii7hLok1PoWgluwxZeou8L5822JcRRLE7srU4TQyHeKZ8j9/so73vQzbbx2ClEclBEUI1aNIjU+trZL5hVizT3xOYI4UgWP/f7sPebwrkcA7LtoQ3JkMEyIaxGA6pePzNOyLLArdbICWkoD+JMpvwkMDKXVCrKuFLWMP8xon3Mr5IRXh/ZTuYcy5BGM4RxidwrYFSw6yJYr8RKKUTo3i6CqlVwTzzKCALovQPoXl+imWbjpqqjxOApMNo+GT2rfBOf4wwcB9g7hA4Tm8M+YllnaJdZ5UKkwWH+nwL4DfP6LsSADvHIHAOAj0aO/4UUzp0adLMFNKUhdBCgsNuA7nQlYY4IwcEhqFxOTBAzhihJobLng3oDMGvxgO5syt/HJ/KRSjkirIcTH4Chcrtk5OguuwYqFECHTVQBwCmIPicgVaECHfPEFlmSFoi9Xqa09TTVp3S7g9K3H8H33PGGb7gwGj7pGTADMzOoryGuE39vUTByaFStAn4QGcFqZ0tK3ZsQIbuebHrLJQQnpwD09JvTYhHEGugo4Z0DoiZw8wb8p7sXGntTLRyhSkY434Qc7JEQPtl2aklS4fcsJNlv3IZ3RTfBqlbD3hdq2Cw8h8KjI4lcPo2NBvuF+1JBFoA+bYrc4cACQeZPKFFAibz6k7blQuT+LmiTFdjM5MgG3OvFHHwA2N2XuaPXS0TUzByZUT+Zy61IRP8nAD6A/yKdywGI6BeJ6OtE9HUP6dUAvwzseqLz98rzUI0GVKsji2Iyk3tUxH8WD3MQwK8oYOCCzYRGAxfBsz0JrQHQa1XJvJcTRwoaSSWNiXfgrKGbLdCTfeGy9XrCZwvpH1lU/5v0uRCJ2sAMiDx64+S2BlKtkY0u6fgvmPF+rwMXDBj2EF6Xe1okLMtw5RMlhwMNPm3GcpSJ6qChBNxMnPGBVLRK/h9ZFrqfu3u2/yfbMqluMSlC6ohjC7Uk9C4nT3FehbwZQJYl9DDLAjmGMpFVvxwz5lfVk6mqFdg9wDnsQK9VQdUKTl4pC1Vjfc0UdRAFF9nUGQdMIsJBhTm47lmC1HJe1yrhEqrmKkLUU9yIRhrylhepcDKzwUxE/xMA/yqAf51jhvVjAPcTH7tnjp13/AyY+VeY+UvM/CUH6U3Ml4FKRXifvIvjz67B/cx98RBpDXLsSI+UPV8WkDkT5w4/bUNvNGRRCgLA9WDduhG9r54dyvnHdWzWw78vAXs+4HngdkeM5XZHJPNc13AFM6iiOKEHzVprIPj8y2e8SxNpbW5vxp8f0dBk1434iql5rlZ0kjkXKxaCXjYoU36dqxINIkuBSsUzyhhEFFMBZu1DYWW2RDtRsYjy+0NMOTE4R8fetDQHY9CLF1kP09CS35kGlGUMc3ECXIVu7Kwb9qsGBxrlAx9sWdBFG+j20HgQO5io04M+PoE+PAI8NzJCSZFoNhs1ionnx0XOEcZJBKVgjynGmGNCnDfuV3S+J6cAcgpRNDqyE5L3k3G0dCZKBhF9BcD/HsBfZuZkl/5tAP8lEf0HAO4AeAXAHwMgAK8Q0YsQQ/lnAfwP57nwtKHbbdhffxMbf2ZJgxh+cUQVSElShxSh8UBDtbuSgQ4MKzkoAjdqoIEL3WpHO+2YhgHD/ZtAX5gZPBgkCq6MkaPLYvBM2GnZ9eA8PYE/ZRiZfR/6/YfyB5HQZhIg2xFOk6lWxoP0KibGVJJrIDG36td/heBeDyCCd6sO56QJDAYi4WX6Rxg9Yt+PihIBiMfwFKBqRV4cH8fHKhXo9z8c/pylTPQJsxnnRpYxaXSHpb6juUNZQ0mNc0EH0Im57wwtKwtVjtHvfOV54JvfwZAM3wqAWy1UHjZB3T4Gt6qwLQuFb34AKhbEs0wkkYCQ9kciZcqaQYChwUzRjslnl3ytLLPZsaai1V1+PlFqufv3H8O/DnNtjnSgCET2cDK/6YNDfTKjsTyJrNzfAfAvAHySiB4R0S8A+H8AqAP4KhF9g4j+FgAw8xsAfhPAtwH8AwB/jZkDkyD41wH8QwDfAfCb5rOTI2sPHynh+1YqUJVKRFdQ1SrcH/+STKizFgJIQNWqqD0RTwBVjZcqEAUMCjVcPX8o0/lcGsYEk0hUntdU7FomgXa6ewvBk2dn35jkvs7j3hFlwoecuUJbjmuJyNgIGLxjoh2hlBcQ84E1y6bNjEMZy9ONv2B3H8H+QXxAWdDHx2f6eVQCdjQ5b5rzhYZ9pYKwgFMUHjea3VHBpXnn5FDZJk3VhgugxlBJqN1bmvlwGrDvo3+3Dng+rH4QSWiy4XTCtqTqX70uHnxSYkizPpebfiGSkYtkpMNUUUt1zmWOVI78Bw+hyuW8Gum0uIaKTux7IncZaPnNCUfggrzMl3qYmfnnxhz+2xd8/t8B8O+MOf47AH5nqqtbIFSpCPeLUrfeOe5BHbVEacGycPRaAbf/sQ1VLCJod4wag8IsiX9UreLBT5bw6n8cgDvCwaFiAbrVjkJk3DQalKFxG7qkEq6piXfzYWcKF70lWhy8O2twjk4QzFBY5FyPRjKhLyz8khJUtQLdbmNI8ir3fnwsQcWCVJgsWICtQGsNcKcr3rZSKdICn8ezHIKDAKTiqVoVnFgfOYlkoZJ5k9nCDftgAFWtRhtUshQ4SEm7Oxyrixo/6qwREckCrpB3GQBACp1bDoq7DRQ+2AOUgg50RDHhdkcK6oT3nCwOo4RiE23eJpnDzmnvNItCJEGWBQaE7lStihNp1droKmH01GeedJYRkayvFlUdzfGmmwOJuoc2QUZe5uu3DZkRuj+AX7Zgtwagvgd9JB4cPRhg423PSC0FcSPMqipBhKCmwZVSLOkWepfDmueJjE9VrcYcwlkE/cOEpBHawjKAPD2c9ToplCXlXid5Fmks7GZQ0nXjMeeYHa4HaI3CYRfwNfR6Dd6n7ptQsjcc7h7i/87fH/VgIIuGc1ZXWD4QTM9dToI1dLtjNJkt6G432iSy70cyl3MbSmHxJiLRuQ/zQzIaZ2eStpUF3VldkmyxGcDdqoDX6+BaBer5u0B/IB7achm8uQa9vRYXLAkjlGHUUaUjDZgZwussFa9X1bpF4LLEyRVcy8L7oWIRqlo2GveJ/jcUBclG/WZ1DOYFlOR02j6CWgFcLoDu3Uao9Vc4dk04YP6ynNzrYfPPFCjMemctE5pRjCBFIv9mCO1ULo0Pr0zb4ZdwgARlW+5vWugAwdHxsJc3hAkbR3+mlW0dSt+RyiYBKsdqwSzgau8YtC/Jd85+O56oPS96HZV+Zp6tPyaNHQOyHVg3ts9+NtE3Z9JgBsxiqyJu6hCsFA1aY4ADJm8hLPCSlbbvKG2AtUSMVhBkKTSfs2G3XcD1QL0Bei9vg7s9cLMN7naBJ3ugh89kLdnejPpspK8NpLLpSX1tUZZR8JB1TxLU83l2WlxIkxldx1YBob00GCBotuMKp2HeSNIpuIyyctcNfsXCwefKYFvh8VduRLwp+62EhHTk5VWzTRZBgME6gSsl4SsXCpK1HASRt1WfnErSGmuRRRtVxpilCtaCOE0TKVwYWD0/So6a/kTn389wUZQU7ptZvMu51FEOA+4PwMzQO+uA70MdtYC9Qzne7Q7ThfSYjd1UJxvRKWaWDXzLGHvn8DtnDZerghP19aGcB6JhwyWFBZd9H1QoCHUqLEC0KKwwz5MKBbSf07DaA2D3ALAU3Lpwidn3QbUqdLcr0lusgdO2GJ4hxzn6oskoZQuVeQvpBI5zts/lmAikEpKSq2YYn4NQfhImiZrUSAE5IonIZ4jVnTHSBjOKez2sveeB+j6I40SvqE55shPOWL6VajUEJYAtKyKtU8FkNqtYHxOWFZdyDRNjop/pB8CiktaiUtsTwD7pzZRZTU4BqlSMvfCFAqyNjUSyk7SR/dy9dKSqiCTRoNfLLNSTYzVBAx/UqMsft7ZB9bqM26QxlsbYG8PHi+aPccbMHJtFKhUjKc2h7w4Ndd8f9pbPuiAbhwPZtsidqXjhywTj5upVjRA5NqwBgVpdoQ4enYAYUBvrUJvr8gyN155KJcBzpT0TDo1pElDP1avO4vkZo54sBbIdkG3llIxpMDr2x7XRCvLB2ffFaC4UQLYDtb4mm/vEvap6LdNryA3mEMoCBQEGGxZ0xUH9o0SCnfF+hBxWVanMfBp9dAzlAf6WlL+GNhmfyUo1gHCmPR9qy2TgT6m/PIqFVNICxibWnAt/tmtSm+tQmxuwbt4ASMHa2U7splWUDc8FZ7rrOQdhFCCTIi85VhPGWAzWygi26oBtqkoqAjVqqWoKk20PFQuJ9JZN8R72vdjLzBwXG5l5roiLJUnxlWHt+TOJtPOMh1C9gVQiMpQvS5fCtqEtSL8DQERQHoM9D9wfQO8fSrGrMDHKsoaLXwHT948F6vpq14N+5TlYd26CQxnDtJUyronndQiGkhipSF342dUcZ2TkYuH70eZe3sj+flbziWUELtigABhslVD7R6+DbClpCx1IAZNyWQxnZ46K4kRofKjhPG0aVQwN7vXFGNf6jOwbOc5KeTV1b3KZpmC9MlO4jdsdURIx3ulgdx/BaTMyEsgkJQXvfQi1uTE/zy5xjXkFqhwAonyG9gtVBGUH3p0NcNGWSn+dbsx3H/qn2UpAU7F4dpOug1jejfniCNKUScK63TaJfjoKf0qY3CS/quES2vOAFIFu7UDVqsMFiMIk5yyxQvPqKEgpqECcAlSrAuUSnHYgHOZ2Rzb5YcGtsGLjPFj0s2INJkh0r9uLvOVpYmaO/ypgFtrmkoPIVK9MRv6tRPSBdSw1lxFygzmEDhCUbCifQZqF/+V60aLErgvdaslCFVI0ZkEQwHI5Ev8nS5kStEYHOsxcNvQPCU2dE3KdAgsz9KbosOxYM3nieDAQT8lpU/4e1ZYOs2kVQR8cyntzJDlwEKSS8Jnj+kA1JPRnuRr2cQ/2QVs23NWKRI6S421e7fMgiMtwA5HWckTZAi6WU5r13MzDIc6wuIcZS6MVNmeFfvAIutWKx3GY+LeCYeNFgf0AlScksniDAbjVRvGjE1CxIInUYVl2RdBHJ+BOx/BaE5GHqfS5F2x8kQJbwmnX4QY05WugwjU0mMNN+STjctU2jEpsJfZ8qeZr24B5DUA281PkUM10CZl++4rB2W0CBPjVxGKX8C5GxQfm8axYFo4+aYEGHphN0l+5PBzmNDQC1iz8s4T+4BBWXCnDq9kzUSaoXAZ/6gXheSd5lMaLopttKaEZBPGOU89htISlWoHFJP4tWTvlGANjxFp9BvUHwO4+rMcHJumvF5V7Bi7gf06KMN+Bh0PpWckchsUooCxwuxOdN0qyAWRhTiEZS0ogiyZwVIY7x+W4sQnlMfTxiRgQQQAcHouev+uJ0hKRlGYPAqH9RVSM2eRQxxWJyrK9nAe70Ecn2W2cksms16nfhXPFpZKrK+aB1jqqvsxBINr3o1KRWRc/yvTbVwzUG8BpazhNMV5VwYGqluXNxM58Hm8t+z5sIwyhTMlb9n1ZNAy/LJTRIUXQxyfnU0Cm6PBk20s3QMrvHc60y1drDTz7gbUhDxvZTuSZIseOFAJ4pPLaTDBhaFWrDW9sFpmclGOpwP0BQAq9LRPNqFbB65L8F47ncKObhid2yHMSaqv7PqxXPwHrky/H7xnjQlWrsaE7pdcl4i6zjvWkTcKxaJ8aekYahkz4jBSZpNoFhpJXeJxRt49CK5H0GUjkk11X1o/BAOz70K4nG51EefbZTjjGVBgn65kWdADdbGWqkx3N5SvcD87FddoAGGjXVPoL263XH9a71wH08Umm15AbzEn4PgonAxSO+/EgGuNFmcfDTJYFq8fgogPYNlAunVnQIs9RuJjUa7FCxozQS0gpoIEH/fL9MW9cPNi508XmW24cxgVEgzFMeDJlwKGsqPLVXJOiWWhUo56HiXMAMBnblkKho0Fm0qZWN9rcDqtLzKktbDyE46A/fAT+6MnY/0le61RIJNByEJjNto5L0ya/b65xZTa3rhvPbddwoc8CencftSeDYe9xEEgZacuC7vUlAufY8hkvfUpD5HXOSjfb9zOdb4cS466h0Xzt8m3CedT8HhJLMNCzytROiGwJH6sEIrDnISjb8LeKKBLFYdCQF5h8PWNJZKpWUT5iUKCj5KBo12QSG9j3Iy8PBwHIy3biSB2TPhvfh3YsnFkiLynpqVstlP7kfQTnqFZEGxDWMeUjjRLWdmICSqP8cI7VhWWBSkVUH0gInLs9yW1QohsbRYWS6g8zQg8G5ycQ+r5svEfAgZ6/zxs93DOJyLadjuqOKdYUeD6o4MhiF479vOT8hdD9AQpvPUGgGczhusHD/SQ5P867D7mKuS5rZafr3L8uSzBexfGVpJkQQbseVLUiuWUhdBCvzRncX+5hDkEK3B/Abnv46EetoQxalahGF74m25nJG8KdDuyeBre7krzWG+Y7AmESW7ybSmVxCsOoi8CkHZV5rL7mZZrRrNk8s4R3I7w3HYhiBiAFEUKR/hQGD3fj3WvE88zx8YRmcKChTtrgfl+SUCLvsjIePaE1zEPJEF1zFS0EqlSCqteHFjxVqxqpuTBhOKyUZs2dBBOVn02qV6TV75llk6EDMZaTToFVW8wXjURRq2h9UJZ4k4NAogHmdfj5+c53TntkxaN3CnmhqDRwjjpKWgm7C4OyoKpVWGsNUKEAVSyCFKH3g5+S+S4xz1lbmxJpAVJX26GsZTjmARHtA+gAOLjqa8lxLraRt8+yI2+j5UbePsuPvI2WH3kbLTdWpX2eZ+adcW8stcEMAET0dWb+0lVfR47xyNtn+ZG30XIjb5/lR95Gy4+8jZYb16F98phyjhw5cuTIkSNHjhwXIDeYc+TIkSNHjhw5cuS4AKtgMP/KVV9AjguRt8/yI2+j5UbePsuPvI2WH3kbLTdWvn2WnsOcI0eOHDly5MiRI8dVYhU8zDly5MiRI0eOHDlyXBmW1mAmoq8Q0VtE9C4R/dJVX8/HGUT0gIj+nIi+QURfN8c2ieirRPSO+b1hjhMR/Uem3b5FRF+82qu/fiCiXyWiPSJ6PXFs6vYgop83n3+HiH7+Ku7luuKcNvqbRPTYjKNvENFPJt77G6aN3iKiH08cz+fBDEBE94no94no20T0BhH9r8zxfBwtCS5oo3wcLQmIqEREf0xE3zRt9H82x18koj8yz/s3iKhgjhfN3++a919IfNfYtlsqMPPS/QCwALwH4CUABQDfBPDaVV/Xx/UHwAMA2yPH/q8Afsm8/iUA/555/ZMA/n+Q2lLfB+CPrvr6r9sPgL8E4IsAXp+1PQBsAnjf/N4wrzeu+t6uy885bfQ3Afzvxnz2NTPHFQG8aOY+K58HM22f2wC+aF7XAbxt2iEfR0vyc0Eb5eNoSX7MeKiZ1w6APzLj4zcB/Kw5/rcA/M/N6/8FgL9lXv8sgN+4qO2u+v5Gf5bVw/xlAO8y8/vM7AL4dQA/dcXXlGMYPwXg18zrXwPw04nj/xkL/hDAOhHdvoLru7Zg5j8AcDRyeNr2+HEAX2XmI2Y+BvBVAF/J/OI/Jjinjc7DTwH4dWYeMPMHAN6FzIH5PJgRmPkpM/+ped0C8B0Ad5GPo6XBBW10HvJxtGCY8dA2fzrmhwH8CIC/a46PjqNwfP1dAD9KRITz226psKwG810AHyX+foSLB0qObMEA/hER/QkR/aI5dpOZn5rXzwDcNK/ztrsaTNseeTtdDf66Cen/ahjuR95GVwoTFv5uiHcsH0dLiJE2AvJxtDQgIouIvgFgD7JhfA/ACTP75iPJ5x21hXn/FMAWVqSNltVgzrFc+EFm/iKAnwDw14joLyXfZImp5HIrS4K8PZYW/wmATwD4AoCnAP7vV3o1OUBENQD/FYD/NTM3k+/l42g5MKaN8nG0RGDmgJm/AOAexCv8qau9ouywrAbzYwD3E3/fM8dyXAGY+bH5vQfg70EGxW5ItTC/98zH87a7GkzbHnk7LRjMvGsWFw3g/4045Ji30RWAiByIIfZfMPN/bQ7n42iJMK6N8nG0nGDmEwC/D+D7IZQl27yVfN5RW5j31wAcYkXaaFkN5q8BeMVkWhYg5PDfvuJr+liCiKpEVA9fA/gxAK9D2iPMCP95AL9lXv82gL9qssq/D8BpIsSZIztM2x7/EMCPEdGGCWn+mDmWIyOMcPn/e5BxBEgb/azJIH8RwCsA/hj5PJgZDG/ybwP4DjP/B4m38nG0JDivjfJxtDwgoh0iWjevywD+ZQjX/PcB/Iz52Og4CsfXzwD4PRPJOa/tlgr25R9ZPJjZJ6K/Dpl4LAC/ysxvXPFlfVxxE8Dfk7kLNoD/kpn/ARF9DcBvEtEvAPgQwL9mPv87kIzydwF0Afwbi7/k6w0i+jsAfhjANhE9AvDLAP5dTNEezHxERP82ZDEBgH+LmSdNUstxCc5pox8moi9AwvwPAPzPAICZ3yCi3wTwbQA+gL/GzIH5nnwezAZ/EcD/GMCfG/4lAPwfkY+jZcJ5bfRz+ThaGtwG8GtEZEEcsL/JzH+fiL4N4NeJ6P8C4M8gGx+Y3/85Eb0LSYr+WeDitlsm5JX+cuTIkSNHjhw5cuS4AMtKyciRI0eOHDly5MiRYymQG8w5cuTIkSNHjhw5clyA3GDOkSNHjhw5cuTIkeMC5AZzjhw5cuTIkSNHjhwXIDeYc+TIkSNHjhw5cuS4ALnBnCNHjhw5cuTIkSPHBcgN5hw5cuTIkSNHjhw5LkBuMOfIkSNHjhw5cuTIcQH+/8py057hrIjbAAAAAElFTkSuQmCC\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_spectrogram(\"classical\")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 864x576 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "show_spectrogram(\"hiphop\")"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "只能说，不同风格有不同频谱，但人力从可视化结果中看不出来太多的信息，所以我们希望神经网络可以看出点什么来。\n",
    "\n",
    "## 训练音乐风格检测器\n",
    "\n",
    "用一维卷积网络来学习频谱。"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "\n",
    "tf.random.set_seed(SEED)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"model_6\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " input_7 (InputLayer)        [(None, 128, 128)]        0         \n",
      "                                                                 \n",
      " conv1d_18 (Conv1D)          (None, 126, 64)           24640     \n",
      "                                                                 \n",
      " batch_normalization_18 (Bat  (None, 126, 64)          256       \n",
      " chNormalization)                                                \n",
      "                                                                 \n",
      " max_pooling1d_18 (MaxPoolin  (None, 63, 64)           0         \n",
      " g1D)                                                            \n",
      "                                                                 \n",
      " conv1d_19 (Conv1D)          (None, 61, 128)           24704     \n",
      "                                                                 \n",
      " batch_normalization_19 (Bat  (None, 61, 128)          512       \n",
      " chNormalization)                                                \n",
      "                                                                 \n",
      " max_pooling1d_19 (MaxPoolin  (None, 30, 128)          0         \n",
      " g1D)                                                            \n",
      "                                                                 \n",
      " conv1d_20 (Conv1D)          (None, 28, 256)           98560     \n",
      "                                                                 \n",
      " batch_normalization_20 (Bat  (None, 28, 256)          1024      \n",
      " chNormalization)                                                \n",
      "                                                                 \n",
      " max_pooling1d_20 (MaxPoolin  (None, 14, 256)          0         \n",
      " g1D)                                                            \n",
      "                                                                 \n",
      " global_max_pooling1d_6 (Glo  (None, 256)              0         \n",
      " balMaxPooling1D)                                                \n",
      "                                                                 \n",
      " dense_18 (Dense)            (None, 256)               65792     \n",
      "                                                                 \n",
      " dropout_12 (Dropout)        (None, 256)               0         \n",
      "                                                                 \n",
      " dense_19 (Dense)            (None, 256)               65792     \n",
      "                                                                 \n",
      " dropout_13 (Dropout)        (None, 256)               0         \n",
      "                                                                 \n",
      " dense_20 (Dense)            (None, 10)                2570      \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 283,850\n",
      "Trainable params: 282,954\n",
      "Non-trainable params: 896\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "from tensorflow.keras import Input, Model\n",
    "from tensorflow.keras.layers import Conv1D, BatchNormalization, MaxPooling1D, GlobalMaxPooling1D, Dense, Dropout\n",
    "from tensorflow.keras.optimizers import SGD\n",
    "\n",
    "\n",
    "def cnn_model(input_shape):\n",
    "    inputs = Input(input_shape)\n",
    "    x = inputs\n",
    "\n",
    "    # 一维卷积池化堆叠\n",
    "    levels = 64\n",
    "    for level in range(3):\n",
    "        x = Conv1D(levels, 3, activation='relu')(x)\n",
    "        x = BatchNormalization()(x)\n",
    "        x = MaxPooling1D(pool_size=2, strides=2)(x)\n",
    "        levels *= 2\n",
    "\n",
    "    # Global -> shape(128)\n",
    "    x = GlobalMaxPooling1D()(x)\n",
    "\n",
    "    # 计算类型标签的全连接网络\n",
    "    for fc in range(2):\n",
    "        x = Dense(256, activation='relu')(x)\n",
    "        x = Dropout(0.5)(x)\n",
    "\n",
    "    labels = Dense(10, activation='softmax')(x)\n",
    "\n",
    "    model = Model(inputs=[inputs], outputs=[labels])\n",
    "\n",
    "    # optimizer and compile model\n",
    "    sgd = SGD(learning_rate=0.0003, momentum=0.9, decay=1e-5, nesterov=True)\n",
    "    model.compile(optimizer=sgd, loss='categorical_crossentropy', metrics=['accuracy'])\n",
    "\n",
    "    return model\n",
    "\n",
    "\n",
    "model = cnn_model((128, 128))\n",
    "model.summary()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "考虑到我们只有 1000 个歌曲样本，为了增加数据量，我们把每首歌分成 10 个 三秒钟的片段。"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "outputs": [],
   "source": [
    "def split_10(x, y):\n",
    "    s = x.shape\n",
    "    s = (s[0] * 10, s[1] // 10, s[2])\n",
    "    return x.reshape(s), np.repeat(y, 10, axis=0)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "又是分 10 类，上 one-hot："
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "outputs": [],
   "source": [
    "from tensorflow.keras.utils import to_categorical\n",
    "\n",
    "genres_one_hot = to_categorical(genres, num_classes=len(genre_to_idx))"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "准备数据集："
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "outputs": [
    {
     "data": {
      "text/plain": "((9000, 128, 128), (9000, 10))"
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "x_train, x_test, y_train, y_test = train_test_split(\n",
    "    np.array(song_specs), np.array(genres_one_hot),\n",
    "    test_size=0.1, stratify=genres)\n",
    "\n",
    "x_train, y_train = split_10(x_train, y_train)\n",
    "x_test, y_test = split_10(x_test, y_test)\n",
    "\n",
    "x_train.shape, y_train.shape"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "训练"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/100\n",
      "71/71 [==============================] - 8s 98ms/step - loss: 3.4246 - accuracy: 0.1440 - val_loss: 2.2110 - val_accuracy: 0.2270\n",
      "Epoch 2/100\n",
      "71/71 [==============================] - 7s 96ms/step - loss: 2.3649 - accuracy: 0.2022 - val_loss: 2.0763 - val_accuracy: 0.2940\n",
      "Epoch 3/100\n",
      "71/71 [==============================] - 7s 94ms/step - loss: 2.1802 - accuracy: 0.2373 - val_loss: 1.9944 - val_accuracy: 0.3170\n",
      "Epoch 4/100\n",
      "71/71 [==============================] - 7s 94ms/step - loss: 2.0798 - accuracy: 0.2624 - val_loss: 1.9183 - val_accuracy: 0.3230\n",
      "Epoch 5/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 2.0372 - accuracy: 0.2697 - val_loss: 1.8685 - val_accuracy: 0.3460\n",
      "Epoch 6/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 2.0116 - accuracy: 0.2798 - val_loss: 1.8282 - val_accuracy: 0.3610\n",
      "Epoch 7/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 1.9624 - accuracy: 0.2968 - val_loss: 1.7899 - val_accuracy: 0.3750\n",
      "Epoch 8/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 1.9224 - accuracy: 0.3157 - val_loss: 1.7495 - val_accuracy: 0.3860\n",
      "Epoch 9/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 1.8897 - accuracy: 0.3297 - val_loss: 1.7181 - val_accuracy: 0.3950\n",
      "Epoch 10/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 1.8681 - accuracy: 0.3349 - val_loss: 1.6935 - val_accuracy: 0.4100\n",
      "Epoch 11/100\n",
      "71/71 [==============================] - 7s 95ms/step - loss: 1.8177 - accuracy: 0.3549 - val_loss: 1.6672 - val_accuracy: 0.4340\n",
      "Epoch 12/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 1.7989 - accuracy: 0.3608 - val_loss: 1.6402 - val_accuracy: 0.4460\n",
      "Epoch 13/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 1.7852 - accuracy: 0.3596 - val_loss: 1.6237 - val_accuracy: 0.4480\n",
      "Epoch 14/100\n",
      "71/71 [==============================] - 7s 94ms/step - loss: 1.7537 - accuracy: 0.3749 - val_loss: 1.5999 - val_accuracy: 0.4630\n",
      "Epoch 15/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 1.7224 - accuracy: 0.3862 - val_loss: 1.5857 - val_accuracy: 0.4650\n",
      "Epoch 16/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 1.7120 - accuracy: 0.3904 - val_loss: 1.5711 - val_accuracy: 0.4640\n",
      "Epoch 17/100\n",
      "71/71 [==============================] - 7s 96ms/step - loss: 1.6930 - accuracy: 0.3958 - val_loss: 1.5505 - val_accuracy: 0.4660\n",
      "Epoch 18/100\n",
      "71/71 [==============================] - 7s 100ms/step - loss: 1.6624 - accuracy: 0.4100 - val_loss: 1.5361 - val_accuracy: 0.4750\n",
      "Epoch 19/100\n",
      "71/71 [==============================] - 7s 105ms/step - loss: 1.6508 - accuracy: 0.4117 - val_loss: 1.5170 - val_accuracy: 0.4890\n",
      "Epoch 20/100\n",
      "71/71 [==============================] - 7s 94ms/step - loss: 1.6269 - accuracy: 0.4213 - val_loss: 1.5029 - val_accuracy: 0.4860\n",
      "Epoch 21/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 1.6039 - accuracy: 0.4354 - val_loss: 1.4878 - val_accuracy: 0.4890\n",
      "Epoch 22/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 1.5941 - accuracy: 0.4340 - val_loss: 1.4766 - val_accuracy: 0.4970\n",
      "Epoch 23/100\n",
      "71/71 [==============================] - 7s 98ms/step - loss: 1.5683 - accuracy: 0.4468 - val_loss: 1.4561 - val_accuracy: 0.5000\n",
      "Epoch 24/100\n",
      "71/71 [==============================] - 7s 94ms/step - loss: 1.5805 - accuracy: 0.4403 - val_loss: 1.4578 - val_accuracy: 0.5040\n",
      "Epoch 25/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 1.5237 - accuracy: 0.4623 - val_loss: 1.4396 - val_accuracy: 0.5030\n",
      "Epoch 26/100\n",
      "71/71 [==============================] - 7s 95ms/step - loss: 1.5223 - accuracy: 0.4581 - val_loss: 1.4164 - val_accuracy: 0.5170\n",
      "Epoch 27/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 1.5033 - accuracy: 0.4710 - val_loss: 1.4095 - val_accuracy: 0.5130\n",
      "Epoch 28/100\n",
      "71/71 [==============================] - 7s 94ms/step - loss: 1.4947 - accuracy: 0.4753 - val_loss: 1.3979 - val_accuracy: 0.5150\n",
      "Epoch 29/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 1.4841 - accuracy: 0.4746 - val_loss: 1.3918 - val_accuracy: 0.5170\n",
      "Epoch 30/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 1.4578 - accuracy: 0.4829 - val_loss: 1.3751 - val_accuracy: 0.5160\n",
      "Epoch 31/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 1.4474 - accuracy: 0.4881 - val_loss: 1.3736 - val_accuracy: 0.5250\n",
      "Epoch 32/100\n",
      "71/71 [==============================] - 7s 94ms/step - loss: 1.4342 - accuracy: 0.4909 - val_loss: 1.3588 - val_accuracy: 0.5290\n",
      "Epoch 33/100\n",
      "71/71 [==============================] - 7s 94ms/step - loss: 1.4213 - accuracy: 0.5026 - val_loss: 1.3533 - val_accuracy: 0.5340\n",
      "Epoch 34/100\n",
      "71/71 [==============================] - 7s 94ms/step - loss: 1.4154 - accuracy: 0.5039 - val_loss: 1.3475 - val_accuracy: 0.5360\n",
      "Epoch 35/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 1.3943 - accuracy: 0.5091 - val_loss: 1.3316 - val_accuracy: 0.5370\n",
      "Epoch 36/100\n",
      "71/71 [==============================] - 7s 94ms/step - loss: 1.3782 - accuracy: 0.5182 - val_loss: 1.3217 - val_accuracy: 0.5370\n",
      "Epoch 37/100\n",
      "71/71 [==============================] - 7s 93ms/step - loss: 1.3559 - accuracy: 0.5303 - val_loss: 1.3110 - val_accuracy: 0.5460\n",
      "Epoch 38/100\n",
      "71/71 [==============================] - 7s 97ms/step - loss: 1.3445 - accuracy: 0.5286 - val_loss: 1.3003 - val_accuracy: 0.5550\n",
      "Epoch 39/100\n",
      "71/71 [==============================] - 7s 98ms/step - loss: 1.3296 - accuracy: 0.5338 - val_loss: 1.2998 - val_accuracy: 0.5390\n",
      "Epoch 40/100\n",
      "71/71 [==============================] - 8s 118ms/step - loss: 1.3186 - accuracy: 0.5383 - val_loss: 1.2977 - val_accuracy: 0.5460\n",
      "Epoch 41/100\n",
      "71/71 [==============================] - 7s 105ms/step - loss: 1.3071 - accuracy: 0.5451 - val_loss: 1.2801 - val_accuracy: 0.5580\n",
      "Epoch 42/100\n",
      "71/71 [==============================] - 7s 104ms/step - loss: 1.2960 - accuracy: 0.5472 - val_loss: 1.2790 - val_accuracy: 0.5610\n",
      "Epoch 43/100\n",
      "71/71 [==============================] - 7s 104ms/step - loss: 1.2762 - accuracy: 0.5544 - val_loss: 1.2647 - val_accuracy: 0.5640\n",
      "Epoch 44/100\n",
      "71/71 [==============================] - 8s 114ms/step - loss: 1.2666 - accuracy: 0.5527 - val_loss: 1.2582 - val_accuracy: 0.5670\n",
      "Epoch 45/100\n",
      "71/71 [==============================] - 9s 129ms/step - loss: 1.2612 - accuracy: 0.5574 - val_loss: 1.2476 - val_accuracy: 0.5630\n",
      "Epoch 46/100\n",
      "71/71 [==============================] - 9s 124ms/step - loss: 1.2435 - accuracy: 0.5691 - val_loss: 1.2549 - val_accuracy: 0.5670\n",
      "Epoch 47/100\n",
      "71/71 [==============================] - 9s 123ms/step - loss: 1.2510 - accuracy: 0.5657 - val_loss: 1.2428 - val_accuracy: 0.5840\n",
      "Epoch 48/100\n",
      "71/71 [==============================] - 9s 123ms/step - loss: 1.2190 - accuracy: 0.5779 - val_loss: 1.2375 - val_accuracy: 0.5790\n",
      "Epoch 49/100\n",
      "71/71 [==============================] - 9s 124ms/step - loss: 1.2228 - accuracy: 0.5752 - val_loss: 1.2316 - val_accuracy: 0.5870\n",
      "Epoch 50/100\n",
      "71/71 [==============================] - 9s 127ms/step - loss: 1.1881 - accuracy: 0.5808 - val_loss: 1.2231 - val_accuracy: 0.5830\n",
      "Epoch 51/100\n",
      "71/71 [==============================] - 9s 131ms/step - loss: 1.1809 - accuracy: 0.5926 - val_loss: 1.2107 - val_accuracy: 0.5820\n",
      "Epoch 52/100\n",
      "71/71 [==============================] - 8s 115ms/step - loss: 1.1863 - accuracy: 0.5900 - val_loss: 1.2134 - val_accuracy: 0.5830\n",
      "Epoch 53/100\n",
      "71/71 [==============================] - 8s 114ms/step - loss: 1.1560 - accuracy: 0.5997 - val_loss: 1.2061 - val_accuracy: 0.5830\n",
      "Epoch 54/100\n",
      "71/71 [==============================] - 8s 116ms/step - loss: 1.1489 - accuracy: 0.6001 - val_loss: 1.2057 - val_accuracy: 0.5870\n",
      "Epoch 55/100\n",
      "71/71 [==============================] - 8s 111ms/step - loss: 1.1304 - accuracy: 0.6058 - val_loss: 1.1949 - val_accuracy: 0.6000\n",
      "Epoch 56/100\n",
      "71/71 [==============================] - 8s 116ms/step - loss: 1.1190 - accuracy: 0.6120 - val_loss: 1.1903 - val_accuracy: 0.5930\n",
      "Epoch 57/100\n",
      "71/71 [==============================] - 8s 112ms/step - loss: 1.1168 - accuracy: 0.6102 - val_loss: 1.1910 - val_accuracy: 0.5830\n",
      "Epoch 58/100\n",
      "71/71 [==============================] - 8s 111ms/step - loss: 1.1286 - accuracy: 0.6043 - val_loss: 1.1746 - val_accuracy: 0.6080\n",
      "Epoch 59/100\n",
      "71/71 [==============================] - 8s 113ms/step - loss: 1.1022 - accuracy: 0.6180 - val_loss: 1.1722 - val_accuracy: 0.6070\n",
      "Epoch 60/100\n",
      "71/71 [==============================] - 9s 133ms/step - loss: 1.0976 - accuracy: 0.6238 - val_loss: 1.1865 - val_accuracy: 0.6000\n",
      "Epoch 61/100\n",
      "71/71 [==============================] - 9s 120ms/step - loss: 1.0840 - accuracy: 0.6218 - val_loss: 1.1768 - val_accuracy: 0.6040\n",
      "Epoch 62/100\n",
      "71/71 [==============================] - 9s 124ms/step - loss: 1.0672 - accuracy: 0.6360 - val_loss: 1.1780 - val_accuracy: 0.6060\n"
     ]
    }
   ],
   "source": [
    "from tensorflow.keras.callbacks import EarlyStopping\n",
    "\n",
    "early_stop = EarlyStopping(monitor='val_loss',\n",
    "                           min_delta=0,\n",
    "                           patience=3,\n",
    "                           verbose=0,\n",
    "                           mode='auto')\n",
    "\n",
    "history = model.fit(x_train, y_train,\n",
    "                    batch_size=128,\n",
    "                    epochs=100,\n",
    "                    verbose=1,\n",
    "                    validation_data=(x_test, y_test),\n",
    "                    callbacks=[early_stop])"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "outputs": [],
   "source": [
    "model.save('song_classify.h5')"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "只有差不多 56% 的准确率.\n",
    "\n",
    "之前不是给他分成 10 份了嘛，现在我们要综合 10 份的信息，得到对原本 30s 的片段的预测。\n",
    "直观的想法是做个多数投票，或者更简单，直接取最大值："
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "outputs": [
    {
     "data": {
      "text/plain": "0.66"
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "\n",
    "def unsplit(values):\n",
    "    chunks = np.split(values, 100)\n",
    "    return np.array([np.argmax(chunk) % 10 for chunk in chunks])\n",
    "\n",
    "pred_values = model.predict(x_test)\n",
    "predictions = unsplit(pred_values)\n",
    "truth = unsplit(y_test)\n",
    "accuracy_score(predictions, truth)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "这样准确率提高了一点了。\n",
    "\n",
    "## 对混淆情况进行可视化\n",
    "\n",
    "做一个混淆矩阵：\n",
    "\n",
    "- 列：每种风格真值；\n",
    "- 行：预测结果；"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[68  0  1  6  1  0  5 14  1  0]\n",
      " [ 1 70  4  6  6  0  8  3  8  1]\n",
      " [ 2  8 77  0  9  0  4  2  2  0]\n",
      " [ 1  2  0 49  9  1 10  1  8  6]\n",
      " [ 3  4  4  9 54  0  0 10  6  0]\n",
      " [ 1  0  0  2 10 81 11  0  6  8]\n",
      " [ 3 14  7  6  0  1 25 11  6  1]\n",
      " [20  0  7  1 10  0  4 57  0  0]\n",
      " [ 1  2  0 16  0  2 22  0 50  9]\n",
      " [ 0  0  0  5  1 15 11  2 13 75]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "\n",
    "cm = confusion_matrix(np.argmax(pred_values, axis=1), np.argmax(y_test, axis=1))\n",
    "print(cm)"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 864x576 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(cm.T, interpolation='nearest', cmap='gray')\n",
    "plt.xticks(np.arange(0, len(idx_to_genre)), idx_to_genre)\n",
    "plt.yticks(np.arange(0, len(idx_to_genre)), idx_to_genre)\n",
    "\n",
    "plt.show()"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%%\n"
    }
   }
  },
  {
   "cell_type": "markdown",
   "source": [
    "从中可以看出，网络很好地区分了古典乐，而对摇滚不能很好的分类。"
   ],
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "name": "#%% md\n"
    }
   }
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}